wangkeao

SGCN

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

SiGAT

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

BESIDE

(BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding

Neo-GNNs

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

mvgrl

DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'

mvgrl

GraphNeuralNetwork

《深入浅出图神经网络：GNN原理解析》配套代码

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

gnn

gnn还附带一个kgcn

ADA-UGNN

A Unified View on Graph Neural Networks as Graph Signal Denoising

GNNs-easy-to-use

An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

GNNPapers

Must-read papers on graph neural networks (GNN)

Contrastive_Learning_Papers

A list of contrastive Learning papers

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Awesome-Incremental-Learning

Awesome Incremental Learning