CogDL

A distributed graph deep learning framework.

A scikit-learn compatible library for graph kernels

Minimum-distortion embedding with PyTorch

Deep and conventional community detection related papers, implementations, datasets, and tools.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Hierarchical Graph Pooling with Structure Learning

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

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

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

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification