graph-based-deep-learning-literature

Why we included this project

Staying current with graph neural network research usually means digging through conference proceedings yourself. This repository does that digging for you: it collects graph-focused publications from major venues like NeurIPS, ICML, ICLR, and KDD, then organizes them by conference, year, and topic so you can go straight to relevant work. It also gathers surveys, workshop material, and links to software libraries, which is handy when you're scoping a new research direction rather than just catching up on recent papers. For anyone working with message-passing architectures or graph representation learning, the topic-level grouping is the real time-saver when you need a quick overview of a subarea or want to trace how a line of work evolved across years.