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Search results for python graph convolutional networks
graph-convolutional-networks
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python
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129 search results found
Stellargraph
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2,768
StellarGraph - Machine Learning on Graphs
Mmskeleton
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2,604
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Pytorch_geometric_temporal
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2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Text_gcn
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1,008
Graph Convolutional Networks for Text Classification. AAAI 2019
Deeprobust
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904
A pytorch adversarial library for attack and defense methods on images and graphs
Ad_examples
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738
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Clustergcn
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691
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Awesome Deep Graph Clustering
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626
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Gnns For Nlp
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619
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Chainer Chemistry
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609
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Typedb Ml
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550
TypeDB-ML is the Machine Learning integrations library for TypeDB
Compgcn
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519
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Graphwaveletneuralnetwork
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501
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Efficient Gnns
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490
Code and resources on scalable and efficient Graph Neural Networks
Pose2mesh_release
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474
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
Openchem
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450
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Pick Pytorch
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442
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Fastgcn
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377
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Social Stgcnn
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360
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Semgcn
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311
The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
Lanczosnetwork
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271
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Dgi
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205
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Graph Cnn In 3d Point Cloud Classification
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179
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Deepinf
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171
DeepInf: Social Influence Prediction with Deep Learning
Wordgcn
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167
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Spagcn
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157
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Deepfri
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156
Deep functional residue identification
Kgcn
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156
A tensorflow implementation of Knowledge Graph Convolutional Networks
Diffnet
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143
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Dcrn
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126
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Person_search_gcn
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112
This repository hosts the code for our paper “Learning Context Graph for Person Search”, CVPR2019 Oral
Kgcn
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105
A graph-based deep learning framework for life science
Pytorch Graphsage
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97
Representation learning on large graphs using stochastic graph convolutions.
Zsl Kg
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95
Framework for zero-shot learning with knowledge graphs.
Pytorch Agnn
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94
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Pytorch Gnns
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92
The implement of GNN based on Pytorch
Ss Gcns
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85
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Learning2dance_cag_2020
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79
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
Megacrn
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76
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
Cgnn
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75
Crystal Graph Neural Networks
Pregel
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75
Tensorflow implementation of Graph Convolutional Network
Gossipnet
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74
Non-maximum suppression for object detection in a neural network
Ctgcn
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72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Bgcn
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72
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Alinet
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72
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Gcn_keras
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71
图卷积神经网络 Graph Convolutional Network with Keras
Signnet Basisnet
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71
SignNet and BasisNet
Mvgcn
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70
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
Ladies
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70
Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
Chainer Graph Cnn
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65
Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Extremely Fine Grained Entity Typing
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61
PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
Stgcn
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59
implementation of STGCN for traffic prediction in IJCAI2018
Dgcnn
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57
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Sacn
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55
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Dgi
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54
TensorFlow implementation of Deep Graph Infomax
Hypergcn
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48
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Bayesgrad
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48
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Proteingcn
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47
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Graph Nvp
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44
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Gcdn
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44
Deep Graph-Convolutional Image Denoising
Bns Gcn
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43
[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
Dcgcn
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43
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Graph Domain Adaptaion
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43
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
Ieee_tnnls_tstnet
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42
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification. IEEE TNNLS, 2021.
Srw Net
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42
Semantic Room Wireframe Detection from a single perspective image
Confgcn
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39
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Stage_action_detection
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38
Code of the STAGE module for video action detection
Cova Web Object Detection
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37
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Gcmc
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36
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Acm Gnn
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36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Network Deconfounder Wsdm20
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35
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Geo Gcn
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35
The official implementation of the SGCN architecture.
Trendgcn
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32
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
Memgcn
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32
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
Dynamic Gcnn
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32
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
Srgcae
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31
[IEEE TGRS 2022] Official Pytorch implementation for Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Gatraj
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31
[ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"
Spectral Designed Graph Convolutions
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28
Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
Dstgcn
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28
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Step
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28
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Gridconv
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27
The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)
Vgrnn
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24
Variational Graph Recurrent Neural Networks - PyTorch
H2mn
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24
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
Graph Based Image Classification
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24
Implementation of Planar Graph Convolutional Networks in TensorFlow
Textcategorization
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23
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Neurips2021 Ml4co Kida
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23
1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task
Obic Gcn
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22
Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing Letters.
L2 Gcn
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22
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Social Implicit
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21
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
Selfgnn
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20
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
Garnn
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20
TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.
Bigcn
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18
Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
Dual Dmp
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18
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]
Iterativepfn
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18
Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).
Qa Fewdet
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18
Code for ICCV 2021 paper: 'Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks'
Lifelong Learning
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16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Chromegcn
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16
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
Pb Gcn
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16
Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Lgd Gcn
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15
[TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
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