Srinivasan, Balasubramaniam

9 publications

ICLR 2024 BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai

ICLR 2024 Mixed-Type Tabular Data Synthesis with Score-Based Diffusion in Latent Space Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

ICLR 2024 OpenTab: Advancing Large Language Models as Open-Domain Table Reasoners Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

NeurIPS 2023 HyTrel: Hypergraph-Enhanced Tabular Data Representation Learning Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis

NeurIPSW 2022 Conditional Invariances for Conformer Invariant Protein Representations Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Soji Adeshina, Mayank Kakodkar, George Karypis, Bruno Ribeiro

ICLR 2022 Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron

ICLR 2020 On the Equivalence Between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan, Bruno Ribeiro

ICLR 2019 Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro

ICML 2019 Relational Pooling for Graph Representations Ryan Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro