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ORCIDChristos Faloutsos
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2023
[j172]Shubhranshu Shekhar
, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics 139: 104296 (2023)- [j171]John Paparrizos, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin:
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. Proc. VLDB Endow. 16(8): 2019-2032 (2023) - [j170]Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, Christos Faloutsos:
DeltaShield: Information Theory for Human- Trafficking Detection. ACM Trans. Knowl. Discov. Data 17(2): 28:1-28:27 (2023) - [j169]Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos:
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29(1): 53-62 (2023) - [j168]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho:
ExplainFix: Explainable spatially fixed deep networks. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [c455]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW 2023: 3784-3793 - [i65]Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos:
UltraProp: Principled and Explainable Propagation on Large Graphs. CoRR abs/2301.00270 (2023) - [i64]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - [i63]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023) - [i62]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio J. C. Campilho:
ExplainFix: Explainable Spatially Fixed Deep Networks. CoRR abs/2303.10408 (2023) - [i61]Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis:
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR abs/2304.10668 (2023) - 2022
- [j167]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64(6): 1571-1602 (2022) - [j166]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16(4): 75:1-75:22 (2022) - [j165]Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali:
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs. World Wide Web 25(6): 2429-2453 (2022) - [c454]Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho:
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. BHI 2022: 1-4 - [c453]Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Big Data 2022: 2214-2217 - [c452]Pedro Fidalgo, Rui J. Lopes, Christos Faloutsos:
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. Big Data 2022: 2239-2242 - [c451]Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc:
Nimble GNN Embedding with Tensor-Train Decomposition. KDD 2022: 2327-2335 - [c450]Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis:
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG 2022: 35 - [c449]Hiroyoshi Ito, Christos Faloutsos:
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. SDM 2022: 46-54 - [c448]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. SIGIR 2022: 2082-2086 - [c447]Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong:
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. WSDM 2022: 794-803 - [c446]Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany:
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) 2022: 273-277 - [c445]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126 - [c444]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [i60]Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong:
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. CoRR abs/2202.07648 (2022) - [i59]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. CoRR abs/2204.01839 (2022) - [i58]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022) - [i57]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i56]Bo He, Xiang Song, Vincent Gao, Christos Faloutsos:
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases. CoRR abs/2205.12318 (2022) - [i55]Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis:
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR abs/2206.04255 (2022) - [i54]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022) - [i53]Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc:
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR abs/2206.10581 (2022) - [i52]Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho:
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. CoRR abs/2210.02241 (2022) - [i51]Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos:
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success. CoRR abs/2210.04081 (2022) - 2021
- [j164]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [j163]Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. ACM Trans. Knowl. Discov. Data 15(3): 38:1-38:30 (2021) - [c443]Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis:
Gen2Out: Detecting and Ranking Generalized Anomalies. IEEE BigData 2021: 801-811 - [c442]Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor:
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK 2021: 271-280 - [c441]Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany, Christos Faloutsos:
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. ICDE 2021: 1116-1127 - [c440]Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu:
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. L4DC 2021: 385-398 - [c439]Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang:
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys 2021: 484-494 - [i50]Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis:
gen2Out: Detecting and Ranking Generalized Anomalies. CoRR abs/2109.02704 (2021) - [i49]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR abs/2111.06032 (2021) - 2020
- [j162]Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
Fast and memory-efficient algorithms for high-order Tucker decomposition. Knowl. Inf. Syst. 62(7): 2765-2794 (2020) - [j161]Panos Parchas, Yonatan Naamad, Peter Van Bouwel, Christos Faloutsos, Michalis Petropoulos:
Fast and Effective Distribution-Key Recommendation for Amazon Redshift. Proc. VLDB Endow. 13(11): 2411-2423 (2020) - [j160]Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14(2): 12:1-12:39 (2020) - [j159]Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 29(5): 1129-1148 (2020) - [j158]Dongjin Lee, Kijung Shin, Christos Faloutsos:
Temporal locality-aware sampling for accurate triangle counting in real graph streams. VLDB J. 29(6): 1501-1525 (2020) - [c438]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI 2020: 3242-3249 - [c437]Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - [c436]Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor:
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC 2020 - [c435]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData 2020: 950-956 - [c434]Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang:
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2020: 2517-2524 - [c433]Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. ICDM 2020: 621-630 - [c432]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. ICDM 2020: 751-760 - [c431]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c430]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD 2020: 503-512 - [c429]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c428]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c427]Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali:
TRIAGE: Temporal Twitter attribute graph patterns. WIMS 2020: 44-53 - [c426]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. WSDM 2020: 744-752 - [c425]Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Theory and Practice. WWW (Companion Volume) 2020: 320-321 - [c424]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [c423]Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. WWW 2020: 2493-2499 - [i48]Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. CoRR abs/2002.07833 (2020) - [i47]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i46]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i45]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i44]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2009.08452 (2020) - [i43]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR abs/2011.00447 (2020) - [i42]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020) - [i41]Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu:
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. CoRR abs/2011.10616 (2020) - [i40]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR abs/2011.13085 (2020) - [i39]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR abs/2011.14925 (2020) - [i38]Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. CoRR abs/2012.15006 (2020)
2010 – 2019
- 2019
- [j157]Miguel Araujo, Pedro Manuel Pinto Ribeiro, Hyun Ah Song, Christos Faloutsos:
TensorCast: forecasting and mining with coupled tensors. Knowl. Inf. Syst. 59(3): 497-522 (2019) - [j156]Te-En Wei, Hahn-Ming Lee, Albert B. Jeng, Hemank Lamba, Christos Faloutsos:
WebHound: a data-driven intrusion detection from real-world web access logs. Soft Comput. 23(22): 11947-11965 (2019) - [j155]Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos:
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13(1): 13:1-13:2 (2019) - [j154]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. 31(12): 2235-2248 (2019) - [j153]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [c422]Dhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad:
Intervention-Aware Early Warning. ICDM 2019: 1030-1035 - [c421]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [c420]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD 2019: 647-657 - [c419]Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Theory and Practice. KDD 2019: 3209-3210 - [c418]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c417]Bryan Hooi, Christos Faloutsos:
Branch and Border: Partition-Based Change Detection in Multivariate Time Series. SDM 2019: 504-512 - [c416]Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM 2019: 621-629 - [c415]Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Classical and Contemporary Approaches to Big Time Series Forecasting. SIGMOD Conference 2019: 2042-2047 - [i37]Marko Jereminov, Bryan Hooi, Amritanshu Pandey, Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi:
Impact of Load Models on Power Flow Optimization. CoRR abs/1902.04154 (2019) - [i36]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - [i35]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR abs/1911.04464 (2019) - [i34]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. CoRR abs/1912.03417 (2019) - 2018
- [j152]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) - [j151]Faisal M. Almutairi, Fan Yang, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data. Proc. VLDB Endow. 11(11): 1496-1508 (2018) - [j150]Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Old and New. Proc. VLDB Endow. 11(12): 2102-2105 (2018) - [j149]Kijung Shin, Bryan Hooi, Christos Faloutsos:
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. ACM Trans. Knowl. Discov. Data 12(3): 28:1-28:30 (2018) - [j148]Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. 30(9): 1727-1740 (2018) - [c414]Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c413]Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM 2018: 507-516 - [c412]Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu:
Disk-based Matrix Completion for Memory Limited Devices. CIKM 2018: 1093-1102 - [c411]Fan Yang, Hyun Ah Song, Zongge Liu, Christos Faloutsos, Vladimir Zadorozhny, Nicholas D. Sidiropoulos:
Ares: Automatic Disaggregation of Historical Data. ICDE 2018: 65-76 - [c410]Dhivya Eswaran, Christos Faloutsos:
SedanSpot: Detecting Anomalies in Edge Streams. ICDM 2018: 953-958 - [c409]Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
TensorCast: Forecasting Time-Evolving Networks with Contextual Information. IJCAI 2018: 5199-5203 - [c408]Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica:
SDREGION: Fast Spotting of Changing Communities in Biological Networks. KDD 2018: 867-875 - [c407]Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra:
SpotLight: Detecting Anomalies in Streaming Graphs. KDD 2018: 1378-1386 - [c406]Kijung Shin, Mohammad Hammoud, Euiwoong Lee, Jinoh Oh, Christos Faloutsos:
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. PAKDD (3) 2018: 651-663 - [c405]Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. ECML/PKDD (1) 2018: 71-86 - [c404]Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos:
Social-Affiliation Networks: Patterns and the SOAR Model. ECML/PKDD (2) 2018: 105-121 - [c403]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
Beyond Outlier Detection: LookOut for Pictorial Explanation. ECML/PKDD (1) 2018: 122-138 - [c402]Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla:
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) 2018: 122-140 - [c401]