node-classification topic
H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
TENE
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
CTGCN
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
TOGL
Topological Graph Neural Networks (ICLR 2022)
torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
RGCN-pytorch
Pytorch implementation of Relational GCN for node classification
OrbitalFeatures
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)