Graph-Transformer

A curated list of network embedding techniques.

Repository for benchmarking graph neural networks (JMLR 2023)

Graph Neural Networks with Keras and Tensorflow 2.

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

A scikit-learn compatible library for graph kernels

Hierarchical Graph Pooling with Structure Learning

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)