graph-convolutional-network

There are 2 repositories under graph-convolutional-network topic.

open-mmlab / mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
action-recognition deep-learning graph-convolutional-network pytorch skeleton-based-action-recognition
Language:Python 2862
hongsukchoi / Pose2Mesh_RELEASE
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
2d-human-pose 3d-human-mesh 3d-human-pose 3d-mesh eccv eccv2020 graph-convolutional-network rgb-image single-view
Language:Python 581
GraphWaveletNeuralNetwork
benedekrozemberczki / GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
gcn graph-convolutional-network graph-convolution machine-learning deep-learning iclr sklearn pytorch deepwalk node2vec graphsage convolutional-neural-networks graph-representation research tensorflow graph-neural-networks gwnn transformer gpt2 gpt3
Language:Python 559
wenwenyu / PICK-pytorch
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
document-analysis document-understanding graph-convolutional-network graph-learning graph-neural-networks key-information-extraction
Language:Python 545
maggie0106 / Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
3d-classification convolutional-neural-networks gcn gcnn graph graph-cnn graph-convolutional-network graph-convolutional-networks graph-convolutional-neural-networks point-cloud pointcloud
Language:Python 239
yueliu1999 / DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
data-mining deep-clustering deep-learning gcn graph-convolutional-network graph-convolutional-networks graph-neural-networks network-embedding pytorch representation-learning self-supervised-learning unsupervised-learning
Language:Python 209
jianhuupenn / SpaGCN
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
graph-convolutional-network spatial-domains spatial-transcriptomics spatially-variable-genes
Language:Python 178
malllabiisc / HyperGCN
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
graph-convolutional-network hypergraph semi-supervised-learning
Language:Python 174
PeiJieSun / diffnet
Graph Neural Network based Social Recommendation Model. SIGIR2019.
gcn gnn graph-neural-network graph-convolutional-network neural-graph recommendation social-recommendation sigir2019 neural-network neural-network-graph neural-graph-recommendation
Language:Python 169
huawei-noah / BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
bayesian-graph-neural-networks bayesian-neural-networks gcn gnn graph-convolutional-network graph-convolutional-neural-networks graph-learning graph-neural-networks
Language:Python 150
dawnranger / pytorch-AGNN
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
attention graph-convolutional-network network-embedding representation-learning
Language:Python 145
hegongshan / Recommender-Systems-Paper
Must-read Papers for Recommender Systems (RS)
click-through-rate collaborative-filtering conversational-recommendation deep-learning explainable-recommendation graph-based-recommendation graph-convolutional-network graph-neural-network learning-to-rank matrix-factorization point-of-interest-recommendation rating-prediction recommender-systems sequential-recommendation social-recommendation top-n-recommendations
137
HazeDT / DAGCN
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
fault-diagnosis domain-adaptation graph-convolutional-network variable-working-conditions
Language:Python 110
thiviyanT / torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
link-prediction node-classification relational-graphs graph-neural-network graph-convolutional-network
Language:Python 110
Davidham3 / STGCN
implementation of STGCN for traffic prediction in IJCAI2018
deep-learning graph-convolutional-network ijcai2018 prediction stgcn traffic
Language:Python 109
jhljx / CTGCN
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
dynamic-graphs graph-convolutional-network graph-representation-learning network-embedding graph-neural-networks graph-embedding dynamic-graph-algorithm dynamic-graph-processing graph-embedding-approaches link-prediction edge-classification graph-centrality-prediction node-classification dynamic-graph-embedding graph-neural-network temporal-graph-networks
Language:Python 90
shagunsodhani / pregel
Tensorflow implementation of Graph Convolutional Network
graph-convolutional-network tensorflow
Language:Python 77
SRW-Net
DavidGillsjo / SRW-Net
Semantic Room Wireframe Detection from a single perspective image
cnn deep-learning gcn graph-convolutional-network room-layout wireframe-parsing semantic-room-wireframe
Language:Python 71
OSVAI / GridConv
The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)
2d-to-3d 3d-human-pose-estimation aaai2023 graph-convolutional-network human36m
Language:Python 33
Dual-DMP
astaka-pe / Dual-DMP
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]
deep-learning eccv2022 graph-convolutional-network mesh-denoising 3d-models geometry-processing graph-convolutional-networks graph-neural-networks mesh-processing
Language:Python 31
hibayesian / awesome-graph-learning-papers
A curated list of graph learning papers, articles, tutorials, slides and projects
graph-embedding graph-neural-network graph-computing graph-algorithm graph-convolutional-network
27
constantjxyz / GC-SPLeM
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression -- BIBM 2022
gene-expression graph-convolutional-network multimodal-learning survival-prediction wsi
Language:Python 15
abpaudel / floorplan-graph
Room Classification on Floor Plan Graphs using Graph Neural Networks
graph-convolutional-network graph-neural-network graph-neural-networks node-classification
Language:Python 13
mikel-brostrom / Deep_Spammer_Detection_GCN
An introduction to graph convolutional neural networks with PyTorch Geometric
deep-neural-networks graph-convolutional-network spammer-detection
Language:Python 12
YeongHyeon / PIPGCN-TF2
Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.
graph-neural-networks graph-neural-network graph-convolutional-networks graph-convolutional-network protein-protein-interaction protein prediction
Language:Python 12
andreabac3 / NLP-Semantic-Role-Labeling
NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
gcn gcn-architecture graph-deep-learning nlp natural-language-processing semantic-role-labeling srl bert graph-convolutional-network biaffine-attention-layer biaffine attention-layer pytorch neural neural-network crf conditional-random-field
Language:Python 11
liulizhi1996 / HPOFiller
The implementation of paper "HPOFiller: identifying missing protein-phenotype associations by graph convolutional network".
human-phenotype-ontology graph-convolutional-network matrix-completion
Language:Python 11
ericgossett / higher-order-graph-convolutional-neural-network
A Tensorflow implementation of a higher order graph convolutional neural network
deep-learning graph graph-convolution graph-convolutional-network graph-convolutional-networks neural-network tensorflow
Language:Python 8
dmmiller612 / correlation-gcn
Correlation Graph Convolutional Networks on Gene Expression and other Biology data
deep-learning gcn gene gene-expression graph graph-convolutional-network proteomics tensorflow
Language:Python 7
skth5199 / graph-based-fraud-detection
Fraud detection using Graph Convolutional Networks
deep-learning fraud-detection graph-convolutional-network graph-machine-learning machine-learning rgcn
Language:Jupyter Notebook 7
zouguojian / Traffic-demand-prediction
An Optimized Spatiotemporal Encoder-Decoder Neural Network for Ride-Sourcing Demand Prediction
graph-convolutional-network lstm spatio-temporal-attention traffic-demand-prediction
Language:Python 7
JChander / DeepRIG
A deep model infers gene regulation networks from scRNA-seq data.
deep-learning gene-regulatory-network graph-convolutional-network single-cell-rna-seq
Language:Jupyter Notebook 6
liulizhi1996 / HPODNets
HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations
graph-convolutional-network human-phenotype-ontology
Language:Python 6
jiwoncpark / node-to-joy
Modeling the external convergence from photometric catalogs
graph-convolutional-network uncertainty-quantification
Language:Python 5
RozaAbolghasemi / Group_Recommendation_Syatem_GcPp_clustering
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
recommendation-system machine-learning clustering data-science graph pytorch singnn deep-learning neural-networks group-recommendations group-recommendation-system decision-making graph-edit-distance group-decision-making graph-convolutional-network recommender-system group-recommender pairwise-comparison pairwise-distances pairwise-preferences
Language:Jupyter Notebook 5
liponan / structure-generator
A machine learning model that builds amino acids into a protein model.
machine-learning structural-biology computational-biology protein protein-sequence protein-structure protein-structure-prediction lstm gcn graph-convolutional-network
Language:Python 4

graph-convolutional-network

open-mmlab / mmskeleton

hongsukchoi / Pose2Mesh_RELEASE

benedekrozemberczki / GraphWaveletNeuralNetwork

wenwenyu / PICK-pytorch

maggie0106 / Graph-CNN-in-3D-Point-Cloud-Classification

yueliu1999 / DCRN

jianhuupenn / SpaGCN

malllabiisc / HyperGCN

PeiJieSun / diffnet

huawei-noah / BGCN

dawnranger / pytorch-AGNN

hegongshan / Recommender-Systems-Paper

HazeDT / DAGCN

thiviyanT / torch-rgcn

Davidham3 / STGCN

jhljx / CTGCN

shagunsodhani / pregel

DavidGillsjo / SRW-Net

OSVAI / GridConv

astaka-pe / Dual-DMP

hibayesian / awesome-graph-learning-papers

constantjxyz / GC-SPLeM

abpaudel / floorplan-graph

mikel-brostrom / Deep_Spammer_Detection_GCN

YeongHyeon / PIPGCN-TF2

andreabac3 / NLP-Semantic-Role-Labeling

liulizhi1996 / HPOFiller

ericgossett / higher-order-graph-convolutional-neural-network

dmmiller612 / correlation-gcn

skth5199 / graph-based-fraud-detection

zouguojian / Traffic-demand-prediction

JChander / DeepRIG

liulizhi1996 / HPODNets

jiwoncpark / node-to-joy

RozaAbolghasemi / Group_Recommendation_Syatem_GcPp_clustering

liponan / structure-generator