[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Re...
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structura...
Official Pytorch code for Structure-Aware Transformer.
Visualization tool for Graph Neural Networks
A Pytorch implementation of "Splitter: Learning Node Representations tha...
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hi...
Inductive relation prediction by subgraph reasoning, ICML'20
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP...
Subgraph Neural Networks (NeurIPS 2020)
A curated list for awesome graph representation learning resources.
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Aug...
Making self-supervised learning work on molecules by using their 3D geom...
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
Variational Graph Recurrent Neural Networks - PyTorch