| 2027 | EDBT | Benchmarking Framework for Hybrid Relational-Vector Database Systems. | Ayush Singh, Kaustubh Beedkar, Srinivas Karthik, Harish Doraiswamy, Srikanta Bedathur |
| 2026 | AAAI | Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks. | Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B. G, Sonia Gupta, Srikanta Bedathur |
| 2026 | ACL | PO-KGQA: Preference Optimization for Low-Resource Complex Knowledge Graph Question Answering. | Prerna Agarwal, Ayushman Kumar Singh, Srikanta Bedathur |
| 2026 | FASE | Revisiting the Role of Natural Language Code Comments in Code Translation. | Monika Gupta, Ajay Meena, Anamitra Roy Choudhury, Vijay Arya, Srikanta Bedathur |
| 2026 | WWW | TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion. | Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur, Tanmoy Chakraborty |
| 2026 | WACV | Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations. | Prachi, Sumit Bhatia, Srikanta Bedathur |
| 2026 | SIGMOD | FinDS: Workshop on Data Management for the Modern Financial Systems. | Sahil Manchanda, Aakarsh Malhotra, Sayan Ranu, Srikanta Bedathur, Nitendra Rajput |
| 2026 | SIGMOD | SynthAI@SIGMOD 2026: Workshop on Synthetic Data Generation and Management for Building AI Systems. | Ramasuri Narayanam, Prasad Deshpande, Srikanta Bedathur, Eugene Wu, Soumyabrata Pal, Subrata Mitra, Eunyee Koh, Barna Saha |
| 2025 | EMNLP | A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering. | Prerna Agarwal, Srikanta Bedathur |
| 2025 | ICDM | CGLE: Class-Label Graph Link Estimator for Link Prediction. | Ankit Mazumder, Srikanta Bedathur |
| 2025 | ICTIR | Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations. | Prachi, Sumit Bhatia, Srikanta Bedathur |
| 2025 | SIGIR | MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks. | Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur |
| 2024 | ACL | SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution. | Prerna Agarwal, Nishant Kumar, Srikanta Bedathur |
| 2024 | COMAD | Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. | Shubham Gupta, Srikanta Bedathur |
| 2024 | WWW | TransDrift: Modeling Word-Embedding Drift using Transformer. | Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur |
| 2023 | AAAI | DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. | Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur |
| 2023 | COMAD | Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. | Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur |
| 2023 | COMAD | LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. | Dwijesh Gohil, Shivangi Bithel, Srikanta Bedathur |
| 2023 | SIGIR | Evaluating Cross-modal Generative Models Using Retrieval Task. | Shivangi Bithel, Srikanta Bedathur |
| 2022 | AAAI | Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. | Vinayak Gupta, Srikanta Bedathur, Abir De |
| 2022 | AAAI | TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. | Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu |
| 2022 | COMAD | Automatic Assessment of Quality of your Data for AI. | Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala |
| 2022 | COMAD | VizAI : Selecting Accurate Visualizations of Numerical Data. | Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur |
| 2022 | KDD | ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. | Vinayak Gupta, Srikanta Bedathur |
| 2021 | AISTATS | Learning Temporal Point Processes with Intermittent Observations. | Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De |
| 2021 | CIKM | MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. | Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh |
| 2021 | CIKM | Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. | Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur |
| 2021 | CIKM | Region Invariant Normalizing Flows for Mobility Transfer. | Vinayak Gupta, Srikanta Bedathur |
| 2021 | KDD | Fast One-class Classification using Class Boundary-preserving Random Projections. | Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur |
| 2021 | KDD | 2nd International Workshop on Data Quality Assessment for Machine Learning. | Hima Patel, Fuyuki Ishikawa, Laure Berti-quille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi |
| 2021 | PAKDD | 1st International Workshop on Data Assessment and Readiness for AI. | Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel |
| 2021 | PAKDD | Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. | Jayesh Choudhari, Srikanta Bedathur, Indrajit Bhattacharya, Anirban Dasgupta |
| 2020 | CIKM | How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. | Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur |
| 2020 | COMAD | Adaptive Learned Bloom Filters under Incremental Workloads. | Arindam Bhattacharya, Srikanta Bedathur, Amitabha Bagchi |
| 2020 | COMAD | Ranking Marginal Influencers in a Target-labeled Network. | Pranay Lohia, Kalapriya Kannan, Karan Rai, Srikanta Bedathur |
| 2020 | ECIR | Aspect-Based Academic Search Using Domain-Specific KB. | Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath |
| 2020 | WISE | Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. | Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur |
| 2019 | ICDE | ARROW: Approximating Reachability Using Random Walks Over Web-Scale Graphs. | Neha Sengupta, Amitabha Bagchi, Maya Ramanath, Srikanta Bedathur |
| 2019 | SIGMOD | Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. | Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur |
| 2018 | CIKM | Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance. | Dwaipayan Roy, Debasis Ganguly, Sumit Bhatia, Srikanta Bedathur, Mandar Mitra |
| 2018 | ICDM | Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. | Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur |
| 2017 | ICDE | Sampling and Reconstruction Using Bloom Filters. | Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath |
| 2017 | IJCAI | LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks. | Ankita Likhyani, Srikanta Bedathur, Deepak P |
| 2016 | CIKM | Untitled record | Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre |
| 2014 | ECIR | Towards Generating Text Summaries for Entity Chains. | Shruti Chhabra, Srikanta Bedathur |
| 2014 | ICDE | RQ-RDF-3X: Going beyond triplestores. | Jyoti Leeka, Srikanta Bedathur |
| 2013 | COMAD | Generating Text Summaries of Graph Snippets. | Shruti Chhabra, Srikanta Bedathur |