Ashwin Ramachandran — accepted AI-conference papers

2025

Charting the Design Space of Neural Graph Representations for Subgraph Matching

Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De

ICLR 2025poster

Subgraph matching is vital in knowledge graph (KG) question answering, molecule design, scene graph, code and circuit search, etc. Neural methods have shown promising results for subgraph matching. Our study of recent systems suggests refactoring them into a unified design space for graph matching n…

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2024

Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval

Ashwin Ramachandran, Vaibhav Raj, Indradyumna Roy, Soumen Chakrabarti, Abir De

NeurIPS 2024poster

Graph retrieval based on subgraph isomorphism has several real-world applications such as scene graph retrieval, molecular fingerprint detection and circuit design. Roy et al. [35] proposed IsoNet, a late interaction model for subgraph matching, which first computes the node and edge embeddings of e…

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