A collection of important graph embedding, classification and representa...
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
A curated list of data mining papers about fraud detection.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast ...
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022...
A scikit-learn compatible library for graph kernels
A PyTorch implementation of "Predict then Propagate: Graph Neural Networ...
Graph Classification with Graph Convolutional Networks in PyTorch (NeurI...
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks ...
Hierarchical Graph Pooling with Structure Learning
A Repository of Benchmark Graph Datasets for Graph Classification (31 Gr...
A PyTorch implementation of "Graph Classification Using Structural Atten...
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hi...
A package for computing Graph Kernels