LiuChuang0059/graph-pooling-papers
IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
This is a curated collection of over 150 research papers focused on 'graph pooling,' a critical technique for summarizing complex graph data in areas like social networks, molecular structures, or transportation systems. It helps researchers understand how different methods simplify graph information for analysis. The collection is organized by pooling type, allowing researchers to quickly find relevant approaches for their specific graph-related tasks, such as classifying molecules or predicting protein functions.
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Use this if you are a researcher or student working with Graph Neural Networks and need to explore different graph pooling techniques and their applications.
Not ideal if you are looking for ready-to-use software or code implementations rather than a literature review and taxonomy of research papers.
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