PyTorch Implementation of "Self-supervised Graph Learning for Recommendation"
PyTorch implementation of BYOL: a fantastically simple method for self-supervised image represent...
A science toolkit for recommender systems
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Position-aware Graph Neural Networks
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Likely - is a python application that implements various recommendation methods like KNN, Bandit ...
Pytorch Implementation of Proximal Policy Optimization Algorithm
Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
Graph Convolution Network for PyTorch
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://a...
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Lifelong Graph Learning (CVPR 2022) [Distributed Human Action Recognition]
Graph and Nodes embeddings for downstream tasks