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cs.LG2025
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
Arman Gupta, Govind Waghmare, Gaurav Oberoi +1
In heterophilic graphs, where neighboring nodes often belong to different classes, conventional Graph Neural Networks (GNNs) struggle due to their reliance on local homophilous nei…
cs.AI2025
Efficient Graph Understanding with LLMs via Structured Context Injection
Govind Waghmare, Sumedh BG, Sonia Gupta +1
Large Language Models (LLMs) have shown strong capabilities in solving problems across domains, including graph-related tasks traditionally addressed by symbolic or algorithmic met…