naganandy/graph-based-deep-learning-literature

Curated publications organized hierarchically by year and topic-specific categories across major ML conferences (NeurIPS, ICML, ICLR, KDD) plus specialized venues like Learning On Graphs. Beyond conference papers, the index includes workshop proceedings, comprehensive surveys, and curated software libraries relevant to graph neural networks and related methods. The taxonomy-based organization enables researchers to discover papers across temporal ranges and thematic areas within the rapidly evolving graph-based deep learning landscape.

5,036 stars.