Top 9 graph-classification open source projects

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

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

A list of data mining and machine learning papers that I implemented in 2019.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Graph Embedding via Frequent Subgraphs