![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Tina Eliassi-Rad
Person information
- affiliation: Northeastern University, Boston, USA
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j30]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9(1): 5 (2024) - [j29]William Shiao
, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis:
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38(1): 1-21 (2024) - [j28]Nasimeh Heydaribeni
, Xinrui Zhan, Ruisi Zhang
, Tina Eliassi-Rad, Farinaz Koushanfar
:
Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. 6(6): 664-672 (2024) - [j27]Germans Savcisens
, Tina Eliassi-Rad
, Lars Kai Hansen, Laust Hvas Mortensen
, Lau Lilleholt
, Anna Rogers, Ingo Zettler
, Sune Lehmann
:
Using sequences of life-events to predict human lives. Nat. Comput. Sci. 4(1): 43-56 (2024) - [j26]Benjamin A. Miller
, Zohair Shafi
, Wheeler Ruml
, Yevgeniy Vorobeychik
, Tina Eliassi-Rad
, Scott Alfeld
:
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18(2): 35:1-35:42 (2024) - [i47]Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin:
A Survey on Hypergraph Mining: Patterns, Tools, and Generators. CoRR abs/2401.08878 (2024) - [i46]Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni, Tara Javidi, Yamir Moreno, Tina Eliassi-Rad:
Assigning Entities to Teams as a Hypergraph Discovery Problem. CoRR abs/2403.04063 (2024) - [i45]David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander:
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. CoRR abs/2405.00172 (2024) - [i44]Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad:
Generating Human Understandable Explanations for Node Embeddings. CoRR abs/2406.07642 (2024) - 2023
- [j25]Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea:
Modeling self-propagating malware with epidemiological models. Appl. Netw. Sci. 8(1): 52 (2023) - [c70]David Liu, Tina Eliassi-Rad:
STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. SDM 2023: 406-414 - [c69]Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang:
Optimal Intervention on Weighted Networks via Edge Centrality. SDM 2023: 424-432 - [i43]Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang:
Optimal Intervention on Weighted Networks via Edge Centrality. CoRR abs/2303.09086 (2023) - [i42]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Defense Against Shortest Path Attacks. CoRR abs/2305.19083 (2023) - [i41]Germans Savcisens
, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann:
Using Sequences of Life-events to Predict Human Lives. CoRR abs/2306.03009 (2023) - [i40]Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott
, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani:
Social AI and the Challenges of the Human-AI Ecosystem. CoRR abs/2306.13723 (2023) - [i39]Ayan Chatterjee, Robin Walters, Giulia Menichetti
, Tina Eliassi-Rad:
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. CoRR abs/2307.08877 (2023) - [i38]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR abs/2308.03081 (2023) - [i37]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR abs/2308.05498 (2023) - [i36]Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR abs/2310.07979 (2023) - [i35]Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres:
GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR abs/2310.07980 (2023) - [i34]David Liu, Jackie Baek, Tina Eliassi-Rad:
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. CoRR abs/2310.09687 (2023) - [i33]Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar:
HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. CoRR abs/2311.09375 (2023) - 2022
- [j24]Xindi Wang
, Onur Varol
, Tina Eliassi-Rad:
Information access equality on generative models of complex networks. Appl. Netw. Sci. 7(1): 54 (2022) - [j23]Timothy LaRock
, Ingo Scholtes
, Tina Eliassi-Rad:
Sequential motifs in observed walks. J. Complex Networks 10(5) (2022) - [j22]Timothy LaRock, Mengqiao Xu
, Tina Eliassi-Rad:
A path-based approach to analyzing the global liner shipping network. EPJ Data Sci. 11(1): 18 (2022) - [c68]David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad:
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES 2022: 424-435 - [c67]Sidney La Fontaine, Naveen Muralidhar, Michael Clifford, Tina Eliassi-Rad, Cristina Nita-Rotaru:
Alternative Route-Based Attacks in Metropolitan Traffic Systems. DSN Workshops 2022: 20-27 - [c66]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) 2022: 531-550 - [i32]David Liu, Tina Eliassi-Rad:
Identifying and Mitigating Instability in Embeddings of the Degenerate Core. CoRR abs/2205.10647 (2022) - [i31]Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson:
CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR abs/2205.11459 (2022) - [i30]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR abs/2206.13594 (2022) - [i29]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Modeling Self-Propagating Malware with Epidemiological Models. CoRR abs/2208.03276 (2022) - [i28]Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin:
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR abs/2210.06417 (2022) - [i27]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml
, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. CoRR abs/2211.11141 (2022) - 2021
- [j21]Peter Morales
, Rajmonda Sulo Caceres
, Tina Eliassi-Rad:
Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. 6(1): 24 (2021) - [j20]Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad:
The Why, How, and When of Representations for Complex Systems. SIAM Rev. 63(3): 435-485 (2021) - [j19]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [c65]David Liu, Zohair Shafi, William Fleisher
, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES 2021: 745-755 - [c64]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS 2021: 182-190 - [c63]Benjamin A. Miller
, Zohair Shafi
, Wheeler Ruml
, Yevgeniy Vorobeychik
, Tina Eliassi-Rad
, Scott Alfeld
:
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) 2021: 532-547 - [c62]Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM 2021: 154-162 - [i26]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR abs/2104.03761 (2021) - [i25]David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR abs/2104.03909 (2021) - [i24]Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson:
Collaborative Information Sharing for ML-Based Threat Detection. CoRR abs/2104.11636 (2021) - [i23]Xindi Wang, Onur Varol, Tina Eliassi-Rad:
Information Access Equality on Network Generative Models. CoRR abs/2107.02263 (2021) - [i22]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR abs/2107.03347 (2021) - [i21]Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad:
A Path-based Approach to Analyzing the Global Liner Shipping Network. CoRR abs/2110.11925 (2021) - [i20]Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad:
Sequential Motifs in Observed Walks. CoRR abs/2112.05642 (2021) - [i19]Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti:
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR abs/2112.13168 (2021) - [i18]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR abs/2112.13798 (2021) - [i17]Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes:
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports 11(7): 139-178 (2021) - 2020
- [j18]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the limitations of network online learning. Appl. Netw. Sci. 5(1): 60 (2020) - [j17]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks 8(2) (2020) - [c61]Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu:
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. KDD 2020: 3493-3494 - [c60]Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan:
Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core. SDM 2020: 325-333 - [c59]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer:
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. SDM 2020: 460-468 - [c58]Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas
, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou:
Integrity 2020: Integrity in Social Networks and Media. WSDM 2020: 905-906 - [i16]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the Limitations of Network Online Learning. CoRR abs/2001.07607 (2020) - [i15]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i14]Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. CoRR abs/2003.05822 (2020) - [i13]Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad:
The why, how, and when of representations for complex systems. CoRR abs/2006.02870 (2020) - [i12]Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
Optimizing Graph Structure for Targeted Diffusion. CoRR abs/2008.05589 (2020)
2010 – 2019
- 2019
- [j16]Leo Torres
, Pablo Suárez-Serrato
, Tina Eliassi-Rad:
Non-backtracking cycles: length spectrum theory and graph mining applications. Appl. Netw. Sci. 4(1): 41:1-41:35 (2019) - [j15]Xindi Wang
, Burcu Yucesoy, Onur Varol
, Tina Eliassi-Rad, Albert-László Barabási
:
Success in books: predicting book sales before publication. EPJ Data Sci. 8(1): 31:1-31:20 (2019) - [c57]Peter Morales, Rajmonda Sulo Caceres
, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) 2019: 903-914 - [c56]Tina Eliassi-Rad:
Length Spectrum Theory, Non-backtracking Cycles, and Two Graph Analysis Tasks. GRADES/NDA@SIGMOD/PODS 2019: 1:1 - [c55]Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock:
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD 2019: 3217-3218 - [c54]H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi
, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414 - [c53]Si Zhang, Hanghang Tong
, Ross Maciejewski, Tina Eliassi-Rad:
Multilevel Network Alignment. WWW 2019: 2344-2354 - [i11]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
Geometric Laplacian Eigenmap Embedding. CoRR abs/1905.09763 (2019) - [i10]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi
, Tina Eliassi-Rad, Frank Schweitzer:
Detecting Path Anomalies in Time Series Data on Networks. CoRR abs/1905.10580 (2019) - [i9]Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad:
On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR abs/1907.04846 (2019) - [i8]Xindi Wang, Onur Varol, Tina Eliassi-Rad:
L2P: An Algorithm for Estimating Heavy-tailed Outcomes. CoRR abs/1908.04628 (2019) - [i7]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR abs/1909.07294 (2019) - 2018
- [j14]Kijung Shin
, Tina Eliassi-Rad, Christos Faloutsos:
Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. 54(3): 677-710 (2018) - [c52]Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan:
Measuring and Improving the Core Resilience of Networks. WWW 2018: 609-618 - [e2]Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5 [contents] - [r2]Tina Eliassi-Rad:
Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad:
Graph Distance from the Topological View of Non-backtracking Cycles. CoRR abs/1807.09592 (2018) - 2017
- [j13]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. 63(9): 3090-3110 (2017) - [c51]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
, Ali Pinar:
ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci 2017: 161-170 - 2016
- [j12]Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy
, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash:
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18(1): 39-45 (2016) - [j11]Chen Chen
, Hanghang Tong
, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos
, Christos Faloutsos:
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10(4): 49:1-49:30 (2016) - [j10]Chen Chen
, Hanghang Tong
, B. Aditya Prakash, Charalampos E. Tsourakakis
, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c50]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
, Ali Pinar:
MaxReach: Reducing network incompleteness through node probes. ASONAM 2016: 152-157 - [c49]Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos:
NimbleCore: A space-efficient external memory algorithm for estimating core numbers. ASONAM 2016: 207-214 - [c48]Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou:
Fast best-effort search on graphs with multiple attributes. ICDE 2016: 1574-1575 - [c47]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. ICDM 2016: 469-478 - [c46]David Lazer, Oren Tsur
, Tina Eliassi-Rad:
Understanding Offline Political Systems by Mining Online Political Data. WSDM 2016: 687-688 - [c45]Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil
, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher
, Kevin A. Roundy:
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) 2016: 109-110 - [i5]Sean Gilpin, Chia-Tung Kuo, Tina Eliassi-Rad, Ian Davidson:
Some Advances in Role Discovery in Graphs. CoRR abs/1609.02646 (2016) - 2015
- [j9]Véronique Van Vlasselaer, Cristián Bravo
, Olivier Caelen
, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck
, Bart Baesens:
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. 75: 38-48 (2015) - [j8]Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou:
Fast Best-Effort Search on Graphs with Multiple Attributes. IEEE Trans. Knowl. Data Eng. 27(3): 755-768 (2015) - [c44]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck
, Bart Baesens:
AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM 2015: 659-666 - [c43]Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck
, Bart Baesens:
Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS 2015: 918-927 - [c42]Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad:
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. RecSys 2015: 43-50 - [c41]Keith Henderson, Brian Gallagher
, Tina Eliassi-Rad:
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC 2015: 893-900 - [c40]Long T. Le, Tina Eliassi-Rad, Hanghang Tong
:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM 2015: 694-702 - [c39]Spiros Papadimitriou, Tina Eliassi-Rad:
Mining Mobility Data. WWW (Companion Volume) 2015: 1541-1542 - [i4]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
, Ali Pinar:
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR abs/1511.06463 (2015) - 2014
- [c38]Priya Govindan, Tina Eliassi-Rad, Jin Xu, Shawndra Hill, Chris Volinsky:
Threatening Privacy across Social Graphs: A Structural Features Approach. ICDM Workshops 2014: 554-561 - [c37]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
:
A Guide to Selecting a Network Similarity Method. SDM 2014: 1037-1045 - [r1]Tina Eliassi-Rad:
Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1918-1920 - 2013
- [c36]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos
:
Network similarity via multiple social theories. ASONAM 2013: 1439-1440 - [c35]Long T. Le, Tina Eliassi-Rad, Foster J. Provost, Lauren Moores:
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads. LBSN 2013: 24-33 - [c34]Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson:
Guided learning for role discovery (GLRD): framework, algorithms, and applications. KDD 2013: 113-121 - [c33]Spiros Papadimitriou, Tina Eliassi-Rad:
Mining data from mobile devices: a survey of smart sensing and analytics. KDD 2013: 1524 - [c32]Huy Hang, Xuetao Wei, Michalis Faloutsos, Tina Eliassi-Rad:
Entelecheia: Detecting P2P botnets in their waiting stage. Networking 2013: 1-9 - 2012
- [j7]Hanghang Tong
, Spiros Papadimitriou, Christos Faloutsos
, Philip S. Yu, Tina Eliassi-Rad:
Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. 15(3-4): 391-411 (2012) - [j6]Jennifer Neville, Brian Gallagher
, Tina Eliassi-Rad, Tao Wang:
Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. 30(1): 31-55 (2012) - [c31]Hanghang Tong
, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos
, Christos Faloutsos
:
Gelling, and melting, large graphs by edge manipulation. CIKM 2012: 245-254 - [c30]Keith Henderson, Brian Gallagher
, Tina Eliassi-Rad, Hanghang Tong
, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos
, Lei Li:
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c29]Mangesh Gupte, Tina Eliassi-Rad:
Measuring tie strength in implicit social networks. WebSci 2012: 109-118 - [i3]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos:
NetSimile: A Scalable Approach to Size-Independent Network Similarity. CoRR abs/1209.2684 (2012) - 2011
- [j5]Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher
, Philip Top, Tina Eliassi-Rad:
Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. 71(2): 225-235 (2011) - [c28]Keith Henderson, Brian Gallagher
, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong
, Christos Faloutsos
:
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [c27]Tao Wang, Jennifer Neville, Brian Gallagher
, Tina Eliassi-Rad:
Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) 2011: 506-521 - [c26]Tina Eliassi-Rad, Keith Henderson:
Ranking Information in Networks. SBP 2011: 268-275 - [i2]Mangesh Gupte, Tina Eliassi-Rad:
Measuring Tie Strength in Implicit Social Networks. CoRR abs/1112.2774 (2011) - 2010
- [c25]Marios Iliofotou, Brian Gallagher
, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos
:
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT 2010: 2 - [c24]James Abello, Tina Eliassi-Rad, Nishchal Devanur:
Detecting Novel Discrepancies in Communication Networks. ICDM 2010: 8-17 - [c23]Hanghang Tong
, B. Aditya Prakash, Charalampos E. Tsourakakis
, Tina Eliassi-Rad, Christos Faloutsos
, Duen Horng Chau
:
On the Vulnerability of Large Graphs. ICDM 2010: 1091-1096 - [c22]Brian Gallagher
, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos
:
Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM 2010: 221-225 - [c21]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos
, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172 - [c20]Hanghang Tong
, Spiros Papadimitriou, Christos Faloutsos
, Philip S. Yu, Tina Eliassi-Rad:
BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) 2010: 449-463 - [c19]Tina Eliassi-Rad, Keith Henderson:
Literature Search through Mixed-Membership Community Discovery. SBP 2010: 70-78 - [c18]Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos
:
HCDF: A Hybrid Community Discovery Framework. SDM 2010: 754-765
2000 – 2009
- 2009
- [c17]Jennifer Neville, Brian Gallagher
, Tina Eliassi-Rad:
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM 2009: 397-406 - [c16]Keith Henderson, Tina Eliassi-Rad:
Applying latent dirichlet allocation to group discovery in large graphs. SAC 2009: 1456-1461 - 2008
- [j4]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad:
Collective Classification in Network Data. AI Mag. 29(3): 93-106 (2008) - [j3]Jimeng Sun
, Charalampos E. Tsourakakis
, Evan Hoke, Christos Faloutsos
, Tina Eliassi-Rad:
Two heads better than one: pattern discovery in time-evolving multi-aspect data. Data Min. Knowl. Discov. 17(1): 111-128 (2008) - [c15]Phaedon-Stelios Koutsourelakis, Tina Eliassi-Rad:
Finding Mixed-Memberships in Social Networks. AAAI Spring Symposium: Social Information Processing 2008: 48-53 - [c14]Hanghang Tong
, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos
:
Fast mining of complex time-stamped events. CIKM 2008: 759-768 - [c13]Duen Horng Chau
, Christos Faloutsos
, Hanghang Tong
, Jason I. Hong
, Brian Gallagher
, Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - [c12]Brian Gallagher
, Tina Eliassi-Rad:
Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD 2008: 1-19 - [c11]Brian Gallagher
, Hanghang Tong
, Tina Eliassi-Rad, Christos Faloutsos
:
Using ghost edges for classification in sparsely labeled networks. KDD 2008: 256-264 - [c10]Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos
, Tina Eliassi-Rad:
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data. ECML/PKDD (1) 2008: 22 - 2007
- [c9]Brian Gallagher
, Tina Eliassi-Rad:
An Examination of Experimental Methodology for Classifiers of Relational Data. ICDM Workshops 2007: 411-416 - [c8]Hanghang Tong
, Christos Faloutsos
, Brian Gallagher
, Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs. KDD 2007: 737-746 - 2006
- [j2]Zeqian Shen, Kwan-Liu Ma, Tina Eliassi-Rad:
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction. IEEE Trans. Vis. Comput. Graph. 12(6): 1427-1439 (2006) - [c7]David L. Roberts, Tina Eliassi-Rad:
A Position Paper: Value of Information for Evidence Detection. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection 2006: 37-44 - [e1]Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos:
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006. ACM 2006, ISBN 1-59593-339-5 [contents] - 2005
- [c6]Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad:
Knowledge Representation Issues in Semantic Graphs for Relationship Detection. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 91-98 - [c5]Tina Eliassi-Rad, Terence Critchlow:
A hybrid approach for multiresolution modeling of large-scale scientific data. SAC 2005: 511-518 - [i1]Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad:
Knowledge Representation Issues in Semantic Graphs for Relationship Detection. CoRR abs/cs/0504072 (2005) - 2003
- [j1]Tina Eliassi-Rad, Jude W. Shavlik:
A System for Building Intelligent Agents that Learn to Retrieve and Extract Information. User Model. User Adapt. Interact. 13(1-2): 35-88 (2003) - [c4]Chuck Baldwin, Tina Eliassi-Rad, Ghaleb Abdulla, Terence Critchlow:
The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data: Three Steps of Increasing Complexity. SSDBM 2003: 225-228 - [p1]Tina Eliassi-Rad, Jude W. Shavlik:
Intelligent Web Agents that Learn to Retrieve and Extract Information. Intelligent Exploration of the Web 2003: 255-274 - 2002
- [c3]Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla:
Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla. KDD 2002: 488-494 - 2001
- [c2]Tina Eliassi-Rad, Jude W. Shavlik:
A Theory-Refinement Approach to Information Extraction. ICML 2001: 130-137
1990 – 1999
- 1999
- [c1]Jude W. Shavlik, Susan Calcari, Tina Eliassi-Rad, Jack Solock:
An Instructable, Adaptive Interface for Discovering and Monitoring Information on the World-Wide Web. IUI 1999: 157-160
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint