A library for graph deep learning research

A comprehensive collection of recent papers on graph deep learning

A pytorch adversarial library for attack and defense methods on images and graphs

Papers about adversarial attacks on graph data.

A curated list of adversarial attacks and defenses papers on graph-structured data.

A collection of important graph embedding, classification and representation learning papers with implementations.

links to conference publications in graph-based deep learning