jwwthu/GNN-Communication-Networks

links to conference publications in graph-based deep learning

Must-read papers on graph neural networks (GNN)

A comprehensive collection of recent papers on graph deep learning

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A list of recent papers about Graph Neural Network methods applied in NLP areas.

A pytorch library for graph and hypergraph computation.

A curated list of awesome network analysis resources.