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ORCIDSrinivasan Parthasarathy 0001
Person information
- affiliation: Ohio State University, OH, USA
Other persons with the same name
- Srinivasan Parthasarathy 0002
![[0009-0005-8203-1242]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-8203-1242")
— IBM Watson Research Center (and 1 more)
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2020 – today
- 2024
[j53]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Intention enhanced mixed attentive model for session-based recommendation. Data Min. Knowl. Discov. 38(4): 2032-2061 (2024)- [j52]Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth:
Grounding From an AI and Cognitive Science Lens. IEEE Intell. Syst. 39(2): 66-71 (2024) - [j51]Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(8): 207:1-207:24 (2024) - [c213]Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy:
FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. INFOCOM 2024: 311-320 - [c212]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. KDD 2024: 1348-1359 - [c211]Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy:
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). KDD 2024: 6712-6713 - [c210]Avishek Banerjee, Xingya Zhao, Vishnu Chhabra, Kannan Srinivasan, Srinivasan Parthasarathy:
HORCRUX: Accurate Cross Band Channel Prediction. MobiCom 2024: 1-15 - [i63]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. CoRR abs/2402.06190 (2024) - [i62]Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin, Amit P. Sheth:
Grounding from an AI and Cognitive Science Lens. CoRR abs/2402.13290 (2024) - [i61]Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR abs/2404.00816 (2024) - [i60]Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur:
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR abs/2405.02228 (2024) - [i59]M. Toslali, S. Qasim, Srinivasan Parthasarathy, Fábio Oliveira, H. Huang, Gianluca Stringhini, Z. Liu, Ayse K. Coskun:
An Online Probabilistic Distributed Tracing System. CoRR abs/2405.15645 (2024) - 2023
- [j50]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 35(4): 4033-4046 (2023) - [c209]Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy:
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM 2023: 245-252 - [c208]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO 2023: 11:1-11:10 - [c207]Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy:
Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. HiPC 2023: 224-233 - [c206]S. Qasim, Mert Toslali, Quentin Clark, Srinivasan Parthasarathy, Fábio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun:
Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. IC2E 2023: 226-227 - [c205]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). ICDE 2023: 3873-3874 - [c204]Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy:
Online Fairness Auditing through Iterative Refinement. KDD 2023: 1665-1676 - [c203]Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy:
Fast and Optimal Beam Alignment for Off-the-Shelf mmWave Devices. MobiWac 2023: 115-123 - [c202]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) 2023: 298-301 - [i58]Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy:
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR abs/2306.14357 (2023) - [i57]Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. CoRR abs/2308.11890 (2023) - [i56]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. CoRR abs/2309.10195 (2023) - [i55]Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. CoRR abs/2310.01612 (2023) - [i54]Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation. CoRR abs/2311.07742 (2023) - 2022
- [j49]Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents. Appl. Netw. Sci. 7(1): 27 (2022) - [j48]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran:
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5: 616617 (2022) - [j47]Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy:
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15(12): 3718-3721 (2022) - [j46]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16(4): 781-789 (2022) - [j45]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4838-4853 (2022) - [j44]Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel:
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022) - [j43]Goonmeet Bajaj, Sean Current, Daniel Schmidt, Bortik Bandyopadhyay, Christopher W. Myers, Srinivasan Parthasarathy:
Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion. Top. Cogn. Sci. 14(4): 780-799 (2022) - [c201]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider:
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL 2022: 82-87 - [c200]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO 2022: 3:1-3:14 - [c199]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM 2022: 358-367 - [c198]Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. WWW 2022: 1037-1046 - [i53]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR abs/2201.11596 (2022) - [i52]Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj, Hong Yung Yip, Vishesh Javangula, Yuqing Mao, Kin Wah Fung, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. CoRR abs/2204.12716 (2022) - [i51]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR abs/2205.10666 (2022) - [i50]Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning:
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. CoRR abs/2206.01875 (2022) - [i49]Bo Peng, Srinivasan Parthasarathy, Xia Ning:
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. CoRR abs/2209.07997 (2022) - [i48]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR abs/2211.09925 (2022) - 2021
- [j42]Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning:
A deep generative model for molecule optimization via one fragment modification. Nat. Mach. Intell. 3(12): 1040-1049 (2021) - [c197]Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi:
LocationTrails: a federated approach to learning location embeddings. ASONAM 2021: 377-384 - [c196]Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Hai Huang, Ayse K. Coskun:
Iter8: Online Experimentation in the Cloud. SoCC 2021: 289-304 - [c195]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) 2021: 6844-6857 - [c194]Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy:
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC 2021: 282-291 - [c193]Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy:
MILE: A Multi-Level Framework for Scalable Graph Embedding. ICWSM 2021: 361-372 - [c192]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI 2021: 4844-4848 - [c191]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. KDD 2021: 1234-1244 - [c190]Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth:
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo 2021: 140-144 - [c189]Sadie L. Allen, Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun:
Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud. WOC@Middleware 2021: 19-24 - [c188]Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel:
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) 2021: 117-120 - [c187]Nikhita Vedula, Srinivasan Parthasarathy:
FACE-KEG: Fact Checking Explained using KnowledgE Graphs. WSDM 2021: 526-534 - [i47]Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath:
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. CoRR abs/2102.05843 (2021) - [i46]Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - [i45]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR abs/2104.00764 (2021) - [i44]Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy:
Fairness-aware Summarization for Justified Decision-Making. CoRR abs/2107.06243 (2021) - [i43]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. CoRR abs/2109.13348 (2021) - [i42]Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy:
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. CoRR abs/2109.14638 (2021) - [i41]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. CoRR abs/2110.02038 (2021) - 2020
- [j41]Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. 5(1): 52 (2020) - [j40]Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun:
Graph embedding on biomedical networks: methods, applications and evaluations. Bioinform. 36(4): 1241-1251 (2020) - [c186]Meghana Moorthy Bhat, Srinivasan Parthasarathy:
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. Insights 2020: 48-53 - [c185]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING 2020: 6871-6882 - [c184]Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CVPR Workshops 2020: 1563-1566 - [c183]Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun:
JACKPOT: Online Experimentation of Cloud Microservices. HotCloud 2020 - [c182]Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala:
Towards Quantifying the Distance between Opinions. ICWSM 2020: 229-239 - [c181]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. IJCAI 2020: 3244-3250 - [c180]Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD 2020: 1758-1767 - [c179]Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran:
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM 2020: 487-495 - [c178]Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran:
HPRA: Hyperedge Prediction using Resource Allocation. WebSci 2020: 135-143 - [c177]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions. WWW 2020: 2009-2020 - [e4]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i40]Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala:
Towards Quantifying the Distance between Opinions. CoRR abs/2001.09879 (2020) - [i39]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR abs/2002.07845 (2020) - [i38]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. CoRR abs/2002.11890 (2020) - [i37]Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. CoRR abs/2004.01646 (2020) - [i36]Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CoRR abs/2004.03755 (2020) - [i35]Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran:
HPRA: Hyperedge Prediction using Resource Allocation. CoRR abs/2006.11070 (2020) - [i34]Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy:
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR abs/2007.02384 (2020) - [i33]Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning:
Molecule Optimization via Fragment-based Generative Models. CoRR abs/2012.04231 (2020)
2010 – 2019
- 2019
- [c176]Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI 2019: 265-272 - [c175]Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. AAAI 2019: 10043-10044 - [c174]Yu Wang, Bortik Bandyopadhyay, Vedang Patel, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy:
Spread Sampling and Its Applications on Graphs. COMPLEX NETWORKS (1) 2019: 128-140 - [c173]Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. COMPLEX NETWORKS (1) 2019: 286-297 - [c172]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS 2019: 33-42 - [c171]Donghe Kang, Vedang Patel, Ashwati Nair, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy:
Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores. ICS 2019: 392-402 - [c170]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD 2019: 2905-2913 - [c169]Arjun Bakshi, Yifan Mao, Kannan Srinivasan, Srinivasan Parthasarathy:
Fast and Efficient Cross Band Channel Prediction Using Machine Learning. MobiCom 2019: 37:1-37:16 - [c168]Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
A Pipeline for Disaster Response and Relief Coordination. SIGIR 2019: 1337-1340 - [c167]Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy:
Fractal: A General-Purpose Graph Pattern Mining System. SIGMOD Conference 2019: 1357-1374 - [c166]Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy:
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW 2019: 1897-1908 - [i32]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR abs/1902.06792 (2019) - [i31]Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. CoRR abs/1904.07935 (2019) - [i30]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Towards Open Intent Discovery for Conversational Text. CoRR abs/1904.08524 (2019) - [i29]Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy:
Network Representation Learning: Consolidation and Renewed Bearing. CoRR abs/1905.00987 (2019) - [i28]Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun:
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. CoRR abs/1906.05017 (2019) - [i27]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath:
A Countrywide Traffic Accident Dataset. CoRR abs/1906.05409 (2019) - [i26]Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj, Huan Sun, Srinivasan Parthasarathy:
Automatic Table completion using Knowledge Base. CoRR abs/1909.09565 (2019) - [i25]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR abs/1909.09638 (2019) - [i24]Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. CoRR abs/1911.06359 (2019) - [i23]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
An End-to-End Framework for Cold Question Routing in Community Question Answering Services. CoRR abs/1911.11017 (2019) - 2018
- [j39]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32(5): 1339-1367 (2018) - [j38]Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.:
NetClass: A network-based relational model for document classification. Inf. Sci. 469: 60-78 (2018) - [j37]Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy:
Prioritized Relationship Analysis in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 12(3): 29:1-29:27 (2018) - [c165]Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
D-record: Disaster Response and Relief Coordination Pipeline. ARIC@SIGSPATIAL 2018: 13-16 - [c164]Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan:
Efficient sparse-matrix multi-vector product on GPUs. HPDC 2018: 66-79 - [c163]Donghe Kang, Vedang Patel, Kalyan Khandrika, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy:
Characterizing I/O optimization opportunities for array-centric applications on HDFS. HPEC 2018: 1-2 - [c162]