| Relational Pooling for Graph Representations RL Murphy, B Srinivasan, V Rao, B Ribeiro International Conference on Machine Learning. 2019, 2019 | 319 | 2019 |
| Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs RL Murphy, B Srinivasan, V Rao, B Ribeiro International Conference on Learning Representations (ICLR 2019), 2018 | 237 | 2018 |
| Equivariant Subgraph Aggregation Networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations, 2021 | 228 | 2021 |
| On the Equivalence between Positional Node Embeddings and Structural Graph Representations B Srinivasan, B Ribeiro International Conference on Learning Representations, 2020 | 168 | 2020 |
| Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space H Zhang, J Zhang, B Srinivasan, Z Shen, X Qin, C Faloutsos, H Rangwala, ... International Conference on Learning Representations, 2023 | 78 | 2023 |
| Hytrel: Hypergraph-enhanced tabular data representation learning P Chen, S Sarkar, L Lausen, B Srinivasan, S Zha, R Huang, G Karypis Advances in Neural Information Processing Systems 36, 32173-32193, 2023 | 40 | 2023 |
| Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks B Srinivasan, D Zheng, G Karypis SIAM International Conference on Data Mining (SDM 2021), 2021 | 25 | 2021 |
| BioBridge: Bridging Biomedical Foundation Models via Knowledge Graph Z Wang, Z Wang, B Srinivasan, VN Ioannidis, H Rangwala, R Anubhai International Conference on Learning Representations, 2023 | 22 | 2023 |
| OpenTab: Advancing Large Language Models as Open-domain Table Reasoners K Kong, J Zhang, Z Shen, B Srinivasan, C Lei, C Faloutsos, H Rangwala, ... International Conference on Learning Representations, 2024 | 20 | 2024 |
| CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage C Mavromatis, B Srinivasan, Z Shen, J Zhang, H Rangwala, C Faloutsos, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 16* | 2024 |
| NameGuess: Column Name Expansion for Tabular Data J Zhang, Z Shen, B Srinivasan, S Wang, H Rangwala, G Karypis arXiv preprint arXiv:2310.13196, 2023 | 6 | 2023 |
| NetGloVe: Learning Node Representations for Community Detection K Gunasekaran, J Muralikumar, S Sudarshan, B Srinivasan, F Malliaros 6th International Conference on Complex Networks and Their Applications, 2017 | 1 | 2017 |
| FlexiDock: Compositional diffusion models for flexible molecular docking Z Wang, B Srinivasan, Z Shen, G Karypis, H Rangwala | | 2023 |
| Conditional Invariances for Conformer Invariant Protein Representations B Srinivasan, V Ioannidis, S Adeshina, M Kakodkar, G Karypis, B Ribeiro NeurIPS 2022 Workshop on Machine Learning in Structural Biology (MLSB 2022), 2022 | | 2022 |
| On Higher Order Graph Representation Learning B Srinivasan Purdue University, 2022 | | 2022 |