Srinivasan Parthasarathy

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 154

Top Venues

Publications

Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR (2024)
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Intention enhanced mixed attentive model for session-based recommendation. Data Min. Knowl. Discov. 38 (4) (2024)
M. Toslali, S. Qasim, Srinivasan Parthasarathy, Fábio Oliveira, H. Huang, Gianluca Stringhini, Z. Liu, Ayse K. Coskun
An Online Probabilistic Distributed Tracing System. CoRR (2024)
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 (2024)
Mert Toslali, Edward C. Snible, Jing Chen, Alan Cha, Sandeep Singh, Michael H. Kalantar, Srinivasan Parthasarathy
AgraBOT: Accelerating Third-Party Security Risk Management in Enterprise Setting through Generative AI. SIGSOFT FSE Companion (2024)
Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth
Grounding From an AI and Cognitive Science Lens. IEEE Intell. Syst. 39 (2) (2024)
Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy
FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. INFOCOM (2024)
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 (2024)
Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
. KDD (2024)
Avishek Banerjee, Xingya Zhao, Vishnu Chhabra, Kannan Srinivasan, Srinivasan Parthasarathy
HORCRUX: Accurate Cross Band Channel Prediction. MobiCom (2024)
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)
Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin, Amit P. Sheth
Grounding from an AI and Cognitive Science Lens. CoRR (2024)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. CoRR (2023)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). ICDE (2023)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM (2023)
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation. CoRR (2023)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO (2023)
Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy
Fast and Optimal Beam Alignment for Off-the-Shelf mmWave Devices. MobiWac (2023)
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. CoRR (2023)
Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. CoRR (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR (2023)
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)
Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy
Online Fairness Auditing through Iterative Refinement. KDD (2023)
S. Qasim, Mert Toslali, Q. Clark, Srinivasan Parthasarathy, Fábio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun
Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. IC2E (2023)
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)
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 (2022)
Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15 (12) (2022)
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)
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)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO (2022)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR (2022)
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) (2022)
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. CoRR (2022)
Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. CoRR (2022)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR (2022)
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 (2022)
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)
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) (2022)
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) (2022)
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5 (2022)
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) (2022)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR (2021)
Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. CoRR (2021)
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)
Nikhita Vedula, Srinivasan Parthasarathy
FACE-KEG: Fact Checking Explained using KnowledgE Graphs. WSDM (2021)
Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi
LocationTrails: a federated approach to learning location embeddings. ASONAM (2021)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI (2021)
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 (2021)
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Semi-Supervised Deep Learning for Multiplex Networks. CoRR (2021)
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)
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
MILE: A Multi-Level Framework for Scalable Graph Embedding. ICWSM (2021)
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 (2021)
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)
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Semi-Supervised Deep Learning for Multiplex Networks. KDD (2021)
Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy
Fairness-aware Summarization for Justified Decision-Making. CoRR (2021)
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 (2021)
Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Hai Huang, Ayse K. Coskun
Iter8: Online Experimentation in the Cloud. SoCC (2021)
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) (2021)
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)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) (2021)
Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
Molecule Optimization via Fragment-based Generative Models. CoRR (2020)
Meghana Moorthy Bhat, Srinivasan Parthasarathy
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. Insights (2020)
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)
Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM (2020)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. CoRR (2020)
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR (2020)
Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
HPRA: Hyperedge Prediction using Resource Allocation. CoRR (2020)
Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
HPRA: Hyperedge Prediction using Resource Allocation. WebSci (2020)
Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun
JACKPOT: Online Experimentation of Cloud Microservices. HotCloud (2020)
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING (2020)
Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. 5 (1) (2020)
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR (2020)
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)
Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD (2020)
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) (2020)
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
Towards Quantifying the Distance between Opinions. CoRR (2020)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. CoRR (2020)
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 (2020)
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
Towards Quantifying the Distance between Opinions. ICWSM (2020)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Open Intent Extraction from Natural Language Interactions. WWW (2020)
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 (2019)
Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj, Huan Sun, Srinivasan Parthasarathy
Automatic Table completion using Knowledge Base. CoRR (2019)
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath
A Countrywide Traffic Accident Dataset. CoRR (2019)
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)
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 (2019)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Towards Open Intent Discovery for Conversational Text. CoRR (2019)
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)
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)
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 (2019)
Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. CoRR (2019)
Arjun Bakshi, Yifan Mao, Kannan Srinivasan, Srinivasan Parthasarathy
Fast and Efficient Cross Band Channel Prediction Using Machine Learning. MobiCom (2019)
Jiankai Sun, Srinivasan Parthasarathy
Symmetrization for Embedding Directed Graphs. AAAI (2019)
Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
An End-to-End Framework for Cold Question Routing in Community Question Answering Services. CoRR (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR (2019)
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)
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)
Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Srinivasan Parthasarathy