Popular GitHub Repositories for Weisfeiler Lehman

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

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Code and dataset to test empirically the expressive power of graph pooling operators.

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)