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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
1,936 commits to master branch, last one 11 months 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
903 commits to main branch, last one 14 hours ago
An Industrial Graph Neural Network Framework
Created
2020-03-26
226 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
962 commits to main branch, last one 6 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 about a year 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 2 months 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
图神经网络整理
Created
2020-06-07
29 commits to master branch, last one 2 years ago
The PyTorch implementation of STGCN.
Created
2020-11-16
220 commits to main branch, last one 8 days ago
A PyTorch Graph Neural Network Library
Created
2020-05-12
99 commits to master branch, last one 2 years ago
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Created
2020-07-16
108 commits to master branch, last one 2 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 9 months 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
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Created
2022-06-29
32 commits to main branch, last one about a year 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 3 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
27 commits to main branch, last one 10 months ago
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Created
2022-10-04
32 commits to main branch, last one 11 days ago
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Created
2019-12-06
14 commits to master branch, last one 3 years ago
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Created
2021-05-19
439 commits to main branch, last one 14 days ago
tsl: a PyTorch library for processing spatiotemporal data.
Created
2022-03-13
321 commits to main branch, last one about a month 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
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
Created
2019-09-27
53 commits to master branch, last one 2 years ago
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn
gnn
pytorch
deepwalk
node2vec
tensorflow
deep-learning
active-learning
graph-embedding
graph-convolution
network-embedding
node-classification
graph-classification
graph-neural-network
graph-neural-networks
active-learning-module
deep-learning-algorithms
machine-learning-algorithms
graph-convolutional-networks
graph-representation-learning
Created
2019-04-23
126 commits to master branch, last one about a year ago
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from...
Created
2021-03-11
231 commits to main branch, last one 7 months ago