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Must-read papers on graph neural networks (GNN)
Created
2018-12-24
191 commits to master branch, last one 2 years ago
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
gcn
gnn
pytorch
spatial-data
deep-learning
temporal-data
node-embedding
spatiotemporal
graph-embedding
network-science
temporal-graphs
spatial-analysis
graph-convolution
network-embedding
temporal-networks
spatio-temporal-data
graph-neural-networks
spatio-temporal-analysis
graph-convolutional-networks
Created
2020-06-27
1,949 commits to master branch, last one about a month ago
《深入浅出图神经网络:GNN原理解析》配套代码
Created
2019-10-21
36 commits to master branch, last one 3 years ago
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Created
2021-08-10
921 commits to main branch, last one 6 days ago
An Industrial Graph Neural Network Framework
Created
2020-03-26
228 commits to master branch, last one 4 months ago
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Created
2019-01-29
180 commits to master branch, last one about a year ago
Programmable CUDA/C++ GPU Graph Analytics
Created
2013-11-03
986 commits to main branch, last one 3 months ago
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Created
2021-09-23
21 commits to main branch, last one about a year ago
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Created
2019-08-17
8 commits to master branch, last one 2 years ago
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Created
2019-01-31
172 commits to master branch, last one about a year ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 8 months ago
图神经网络整理
Created
2020-06-07
29 commits to master branch, last one 3 years ago
Code and resources on scalable and efficient Graph Neural Networks
Created
2021-07-28
28 commits to main branch, last one about a year ago
The PyTorch implementation of STGCN.
Created
2020-11-16
227 commits to main branch, last one 2 months ago
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Created
2020-07-16
118 commits to master branch, last one about a month ago
A PyTorch Graph Neural Network Library
Created
2020-05-12
99 commits to master branch, last one 2 years ago
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Created
2021-06-14
483 commits to main branch, last one about a year ago
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Created
2020-02-25
7 commits to master branch, last one 4 years ago
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Created
2021-01-15
50 commits to main branch, last one 9 months ago
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Created
2019-02-20
48 commits to master branch, last one about a year ago
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Created
2022-06-29
32 commits to main branch, last one about a year ago
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Created
2022-10-04
32 commits to main branch, last one 6 months ago
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured ...
Created
2020-11-24
28 commits to main branch, last one about a month ago
tsl: a PyTorch library for processing spatiotemporal data.
Created
2022-03-13
326 commits to main branch, last one 3 months ago
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
This repository has been archived
(exclude archived)
Created
2021-05-19
440 commits to main branch, last one about a month ago
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Created
2019-12-06
16 commits to master branch, last one 2 months ago
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Created
2021-09-13
6 commits to main branch, last one 2 years ago
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
Created
2020-06-19
2 commits to master branch, last one 2 years ago
A reading list for deep graph learning acceleration.
Created
2021-08-16
92 commits to main branch, last one 4 months ago
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Created
2021-06-07
9 commits to main branch, last one about a year ago