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Shengbo Gong

2 accepted papers

2025

GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights

NeurIPS 2025poster

Graph condensation (GC) is an emerging technique designed to learn a significantly smaller graph that retains the essential information of the original graph. This condensed graph has shown promise in accelerating graph neural networks while preserving performance comparable to those achieved with t…

Cited by 0SourcecodeScholar
2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

IJCAI 2024poster

Many real-world datasets can be naturally represented as graphs, spanning a wide range of domains. However, the increasing complexity and size of graph datasets present significant challenges for analysis and computation. In response, graph reduction techniques have gained prominence for simplifying…

Cited by 43SourcePDFScholar