| Tweet summarization of news articles: An objective ordering-based perspective R Chakraborty, M Bhavsar, SK Dandapat, J Chandra IEEE Transactions on Computational Social Systems 6 (4), 761-777, 2019 | 26 | 2019 |
| A network based stratification approach for summarizing relevant comment tweets of news articles R Chakraborty, M Bhavsar, S Dandapat, J Chandra Web Information Systems Engineering–WISE 2017: 18th International Conference …, 2017 | 17 | 2017 |
| HCNA: Hyperbolic contrastive learning framework for self-supervised network alignment S Saxena, R Chakraborty, J Chandra Information Processing & Management 59 (5), 103021, 2022 | 8 | 2022 |
| OntoDSumm: ontology-based tweet summarization for disaster events PK Garg, R Chakraborty, SK Dandapat IEEE Transactions on Computational Social Systems, 2023 | 6 | 2023 |
| Link dynamics in scientific collaboration networks R Chakraborty, J Chandra 2016 8th International Conference on Communication Systems and Networks …, 2016 | 5 | 2016 |
| Endsum: Entropy and diversity based disaster tweet summarization PK Garg, R Chakraborty, SK Dandapat arXiv preprint arXiv:2203.01188, 2022 | 4 | 2022 |
| Ontorealsumm: Ontology based real-time tweet summarization PK Garg, R Chakraborty, SK Dandapat arXiv preprint arXiv: 2201.06545, 2022 | 4 | 2022 |
| Analyzing link dynamics in scientific collaboration networks: A social yield based perspective A Pandey, R Chakraborty, S Sarkar, J Chandra Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 4 | 2015 |
| Link Prediction in Signed Networks R Chakraborty, R Das, N Chakraborty Proceedings of the 31st ACM Conference on Hypertext and Social Media, 235-236, 2020 | 3 | 2020 |
| Eve2Sign: Creating Signed Networks of News Events. R Chakraborty, S Bhandari, N Chakraborty, R Das Text2Story@ ECIR, 79-87, 2020 | 3 | 2020 |
| Characterizing User Reactions Towards Twitter's 280 Character Limit Rimjhim, R Chakraborty Proceedings of the 10th annual meeting of the Forum for Information …, 2018 | 3 | 2018 |
| Finding Representative Sampling Subsets in Sensor Graphs Using Time-series Similarities R Chakraborty, J Holm, TB Pedersen, P Popovski ACM Transactions on Sensor Networks 19 (4), 1-32, 2023 | 2 | 2023 |
| SigGAN: Adversarial model for learning signed relationships in networks R Chakraborty, R Das, J Chandra ACM Transactions on Knowledge Discovery from Data 17 (1), 1-20, 2023 | 2 | 2023 |
| Predicting tomorrow's headline using today's twitter deliberations R Chakraborty, A Kharat, A Khatua, SK Dandapat, J Chandra arXiv preprint arXiv:1901.09334, 2019 | 2 | 2019 |
| Information Retrieval from Microblogs during Natural Disasters. R Chakraborty, M Bhavsar FIRE (Working Notes), 87-90, 2016 | 2 | 2016 |
| Detecting stance in tweets: A signed network based approach R Chakraborty, M Bhavsar, SK Dandapat, J Chandra arXiv preprint arXiv:2201.07472, 2022 | 1 | 2022 |
| Are we friends or enemies? Let's ask thy neighbour! R Chakraborty, N Chakraborty Proceedings of the 25th International Conference on Intelligent User …, 2020 | 1 | 2020 |
| Analyzing Interaction Dynamics in Social Networks through Social Yield R Chakraborty, J Chandra Proceedings of the ACM India Joint International Conference on Data Science …, 2019 | 1 | 2019 |
| Predicting Tomorrow's Headline using Twitter Deliberations. R Chakraborty, A Kharat, A Khatua, SK Dandapat, J Chandra CIKM Workshops, 2018 | 1 | 2018 |
| IKDSumm: Incorporating key-phrases into BERT for extractive disaster tweet summarization PK Garg, R Chakraborty, S Gupta, SK Dandapat Computer Speech & Language, 101649, 2024 | | 2024 |
