node-classification

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A repository of pretty cool datasets that I collected for network science and machine learning research.

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Topological Graph Neural Networks (ICLR 2022)

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Pytorch implementation of Relational GCN for node classification

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".