graph-classification topic
GraKeL
A scikit-learn compatible library for graph kernels
graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
HGP-SL
Hierarchical Graph Pooling with Structure Learning
graph_datasets
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
DGCNN
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
GraphKernels
A package for computing Graph Kernels