Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Gnnpapers | 14,779 | 8 days ago | 12 | |||||||
Must-read papers on graph neural networks (GNN) | ||||||||||
G6 | 10,207 | 65 | 414 | 17 hours ago | 414 | August 04, 2023 | 420 | mit | TypeScript | |
♾ A Graph Visualization Framework in JavaScript | ||||||||||
Cytoscape.js | 9,329 | 891 | 232 | 14 days ago | 237 | August 05, 2023 | 15 | mit | JavaScript | |
Graph theory (network) library for visualisation and analysis | ||||||||||
Gcn | 6,679 | 5 months ago | 121 | mit | Python | |||||
Implementation of Graph Convolutional Networks in TensorFlow | ||||||||||
Graph_nets | 5,188 | 7 | 1 | 9 months ago | 7 | January 29, 2020 | 5 | apache-2.0 | Python | |
Build Graph Nets in Tensorflow | ||||||||||
Serial Studio | 3,655 | 11 hours ago | 60 | other | C++ | |||||
Multi-purpose serial data visualization & processing program | ||||||||||
Awesome Network Analysis | 3,144 | 2 months ago | 6 | R | ||||||
A curated list of awesome network analysis resources. | ||||||||||
Pygcn | 2,952 | 3 years ago | 42 | mit | Python | |||||
Graph Convolutional Networks in PyTorch | ||||||||||
Spektral | 2,259 | 6 | 4 months ago | 34 | June 01, 2023 | 61 | mit | Python | ||
Graph Neural Networks with Keras and Tensorflow 2. | ||||||||||
Awesome Network Embedding | 2,218 | 3 years ago | 3 | |||||||
A curated list of network embedding techniques. |
tkipf/gcn, Implementation of Graph Convolutional Networks in TensorFlow,
tkipf/keras-gcn, Keras implementation of Graph Convolutional Networks,
OCEChain/GCN, Graph Convolutional Networks,
PetarV-/GAT, Graph Attention Networks (https://arxiv.org/abs/1710.10903),
Diego999/pyGAT, Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903),
mp2893/gram, Graph-based Attention Model,
danielegrattarola/keras-gat, Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903),
Luckick/EAGCN, Implementation of Edge Attention based Multi-relational Graph Convolutional Networks,
tkipf/relational-gcn, Keras-based implementation of Relational Graph Convolutional Networks
1049451037/GCN-Align, Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
MichSchli/RelationPrediction, Implementation of R-GCNs for Relational Link Prediction
xiangwang1223/knowledge_graph_attention_network, KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019,
deepakn97/relationPrediction, ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs,
qipeng/gcn-over-pruned-trees, Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation),
malllabiisc/RESIDE, EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information,
Cartus/AGGCN_TACRED, Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper),
yao8839836/text_gcn, Graph Convolutional Networks for Text Classification. AAAI 2019,
yuanluo/text_gcn_tutorial, This tutorial (currently under development) is based on the implementation of Text GCN in our paper: Liang Yao, Chengsheng Mao, Yuan Luo. "Graph Convolutional Networks for Text Classification." In 33rd AAAI Conference on Artificial Intelligence (AAAI-19),
plkmo/Bible_Text_GCN, Text-Based Graph Convolution Network,
iamjagdeesh/Fake-News-Detection, Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).,
jx-zhong-for-academic-purpose/GCN-Anomaly-Detection, Placeholder of the source codes in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection.
kaize0409/GCN_AnomalyDetection, Code for Deep Anomaly Detection on Attributed Networks (SDM2019).
Zhongdao/gcn_clustering, Code for CVPR'19 paper Linkage-based Face Clustering via GCN,
yl-1993/learn-to-cluster, Learning to Cluster Faces on an Affinity Graph (CVPR 2019),
chenzhaomin123/ML_GCN, PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019,
rusty1s/graph-based-image-classification,Implementation of Planar Graph Convolutional Networks in TensorFlow,
avirambh/MSDNet-GCN,ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction,
JudyYe/zero-shot-gcn,Zero-Shot Learning with GCN (CVPR 2018),
NVIDIA/ContrastiveLosses4VRD,Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation",
yuweihao/KERN,Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019),
shijx12/XNM-Net,Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs ",
jiayan97/linknet-pytorch,Pytorch reimplementation of LinkNet for Scene Graph Generation,
Uehwan/3D-Scene-Graph,3D scene graph generator implemented in Pytorch.,
Kenneth-Wong/sceneGraph_Mem,Codes for CVPR 2019: Exploring Context and Visual Pattern of Relationship for Scene Graph Generation, Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen, CVPR 2019.,
danfeiX/scene-graph-TF-release,"Scene Graph Generation by Iterative Message Passing" code repository http://cs.stanford.edu/~danfei/scene-…,
google/sg2im,Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018,
rowanz/neural-motifs,Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018) https://rowanzellers.com/neuralmotifs,
jwyang/graph-rcnn.pytorch,Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers,
yikang-li/FactorizableNet, Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation,
lehaifeng/T-GCN, Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Davidham3/ASTGCN, Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019,
Zhenye-Na/gcn-spp, Shortest Path prediction using Graph Convolutional Networks,
raphaelavalos/attention_tsp_graph_net, Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library,
maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification, Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018),
jiexiong2016/GCNv2_SLAM, Real-time SLAM system with deep features,
wngzhiqi/Graph2Seq-Graph-to-Sequence-Learning-with-Attention-Based-Neural-Networks, This repo is project for 11785 (Deep Learning) at CMU. We are reproducing paper called "Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks"(https://arxiv.org/pdf/1804.00823.pdf). Team Member: Zhiqi Wang, Ziyin Huang, Hong Du, Zhengkai Zhang,
syxu828/Graph2Seq-0.1, This is the code for paper "Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks",