Weisfeiler and Leman Go Relational (LOG 2022)
MIT License
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Platform for designing and evaluating Graph Neural Networks (GNN)
Benchmark datasets, data loaders, and evaluators for graph machine learning
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Mod...
Code for Online Graph Dictionary Learning
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Code for Semi-relaxed Gromov-Wasserstein divergence with applications on graphs (ICLR 2022)
EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphs
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)
Replicated Focusing Belief Propagation algorithm
The official implementation of the Graph Barlow Twins method with the experimental pipeline
Python package built to ease deep learning on graph, on top of existing DL frameworks.