Graph-based neural networks have exploded in popularity in recent years, so it’s become increasingly difficult to keep pace with the literature. Yadati has compiled links to the last five to six years of NeurIPS, ICML, and ICLR conference publications related to graph-based deep learning, as well as the past two to four years of publications from a variety of more specialized computer vision and NLP conferences. He centralizes the most-cited papers and provides further resources to existing literature surveys and reviews.