Balasubramaniam Srinivasan

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 16

Top Topics

Graph Representation

Cell Suppression

Top Venues

Publications

Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR (2024)
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR (2024)
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR (2024)
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. EMNLP (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. CoRR (2023)
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR (2023)
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning. NeurIPS (2023)
Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning. CoRR (2023)
Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron
Equivariant Subgraph Aggregation Networks. ICLR (2022)
Balasubramaniam Srinivasan, Da Zheng, George Karypis
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. SDM (2021)
Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron
Equivariant Subgraph Aggregation Networks. CoRR (2021)
Balasubramaniam Srinivasan, Da Zheng, George Karypis
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. CoRR (2021)
Balasubramaniam Srinivasan, Bruno Ribeiro
On the Equivalence between Positional Node Embeddings and Structural Graph Representations. ICLR (2020)
Balasubramaniam Srinivasan, Bruno Ribeiro
On the Equivalence between Node Embeddings and Structural Graph Representations. CoRR (2019)
Minh Viet Le, P. D. Le, Balasubramaniam Srinivasan
A methodology for deriving objective image comparison metrics. SIP (2007)