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Search results for deep learning graph convolutional networks
deep-learning
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graph-convolutional-networks
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68 search results found
Pytorch_geometric
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20,093
Graph Neural Network Library for PyTorch
Graph Based Deep Learning Literature
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4,418
links to conference publications in graph-based deep learning
Euler
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2,846
A distributed graph deep learning framework.
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)
Graph Fraud Detection Papers
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1,148
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
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
Gnns Recipe
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791
🟠 A study guide to learn about Graph Neural Networks (GNNs)
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
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)
Openchem
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450
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Decagon
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436
Graph convolutional neural network for multirelational link prediction
Aggcn
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429
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Graph Neural Pde
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212
Graph Neural PDEs
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)
Reside
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198
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Literatures On Gnn Acceleration
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173
A reading list for deep graph learning acceleration.
Deepinf
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171
DeepInf: Social Influence Prediction with Deep Learning
Deepfri
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156
Deep functional residue identification
Pyg Lib
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137
Low-Level Graph Neural Network Operators for PyG
Dcrn
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126
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Traffic Prediction Open Code Summary
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118
Summary of open source code for deep learning models in the field of traffic prediction
Graph Neural Network Course
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89
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Cgnn
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75
Crystal Graph Neural Networks
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
Neuraldater
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59
ACL 2018: Dating Documents using Graph Convolution Networks
Stgcn
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59
implementation of STGCN for traffic prediction in IJCAI2018
Dgi
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54
TensorFlow implementation of Deep Graph Infomax
Bayesgrad
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48
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Gdynet
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47
Unsupervised learning of atomic scale dynamics from molecular dynamics.
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
Dcgcn
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43
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
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
Cova Web Object Detection
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37
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
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.
Dstgcn
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28
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Neurips2021 Ml4co Kida
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23
1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task
Textcategorization
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23
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Text_gcn_tutorial
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23
A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Recommender Systems Paper
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21
Must-read Papers for Recommender Systems (RS)
Graph Cnn.mxnet
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20
MXNet implementation of Graph Convolutional Neural Networks
Dual Dmp
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18
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]
Optimisation Python
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18
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Lifelong Learning
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16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Simp Gcn
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12
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stgcn Rehab
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12
This repository provides training and evaluation code for paper titled "Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises" (accepted in IEEE TNSRE)
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Step Wise Chemical Synthesis Prediction
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11
A GGNN-GWM based step-wise framework for Chemical Synthesis Prediction
Understandinggcns
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10
The code, citation & note companion to the AICamp Webinar "Understanding Graph Convolutional Networks" hosted on September 7th, 2021.
Acgcn
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9
Code for the paper "Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection"
Graphzoo
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9
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Tnnls_2022_x Gpn
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9
Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image Classification, TNNLS, 2022.
Treewidth Prediction
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8
Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.
Lcn
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8
AISTATS 2019: Lovász Convolutional Networks
Gae Dgl
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8
Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
Skeleton Based Action Recognition
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8
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
Cpa
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7
Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
Higher Order Graph Convolutional Neural Network
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6
A Tensorflow implementation of a higher order graph convolutional neural network
Almgig
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6
Adversarial Learned Molecular Graph Inference and Generation
Ra Gcn Media2022
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6
Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image Analysis Journal (MedIA 2022)
Chainer Formulanet
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6
Chainer implementation of FormulaNet
Seg_gcn
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6
Segment graph convolutional neural network for relation classification. Paper in JAMIA.
Parallel Gcn
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5
Parallel implementation of Graph Convolutional Networks on CPU
Mogonet
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5
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
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