Test graph isomorphism with 1-WL for different graph classes and labelings

Project 1 - unifesp master's degree course

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

Official repository for "Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings" based on the official GNN-As-Kernel repository.

Data Challenge - Kernel methods

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

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

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

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