2 papers
cs.SI2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
Mohit Kataria, Shreyash Bhilwade, Sandeep Kumar +1
is a prominent graph reduction technique that compresses large graphs to enable efficient learning and inference. However, existing GC methods gene…
cs.LG2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
Mohit Kataria, Nikita Malik, Sandeep Kumar +1
Graph structure learning is a core problem in graph-based machine learning, essential for uncovering latent relationships and ensuring model interpretability. However, most existin…