graph-convolution topic
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).