weisfeiler-lehman topic
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
DEMO-Net
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
The-expressive-power-of-pooling-in-GNNs
Code and dataset to test empirically the expressive power of graph pooling operators.