graph-convolution

There are 4 repositories under graph-convolution topic.

pytorch_geometric_temporal
benedekrozemberczki / pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
deep-learning gcn gnn graph-convolution graph-convolutional-networks graph-embedding graph-neural-networks network-embedding network-science node-embedding pytorch spatial-analysis spatial-data spatio-temporal-analysis spatio-temporal-data spatiotemporal temporal-data temporal-graphs temporal-networks
Language:Python 2752
CapsGNN
benedekrozemberczki / CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
capsgnn capsule-network capsule-neural-networks convolution pytorch research tensorflow machine-learning deep-learning gnn deepwalk node2vec graph-attention-networks graph-attention-model graph-classification sklearn struc2vec graph-convolution graph-neural-network
Language:Python 1251
ClusterGCN
benedekrozemberczki / ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch
Language:Python 795
SimGNN
benedekrozemberczki / SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
graph-edit-distance ged graph-similarity gcn graph-convolution tensor-network tensorflow pytorch neural-network deep-learning machine-learning graph-attention attention-mechanism graph-classification sklearn graph-embedding network-embedding wsdm simgnn gnn
Language:Python 782
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec
625
GraphWaveletNeuralNetwork
benedekrozemberczki / GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
convolutional-neural-networks deep-learning deepwalk gcn gpt2 gpt3 graph-convolution graph-convolutional-network graph-neural-networks graph-representation graphsage gwnn iclr machine-learning node2vec pytorch research sklearn tensorflow transformer
Language:Python 587
MixHop-and-N-GCN
benedekrozemberczki / MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets
Language:Python 403
HOPE
bardiadoosti / HOPE
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
computer-vision cvpr2020 deep-learning graph graph-convolution hope-net hopenet machine-learning pose-estimation python pytorch real-time
Language:Python 272
GAM
benedekrozemberczki / GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
attention deep-reinforcement-learning deepwalk gcn graph-attention graph-classification graph-convolution graph2vec graphsage machine-learning neural-networks node2vec pytorch reinforcement-agent reinforcement-learning sklearn structural-attention transfer-learning
Language:Python 272
SGCN
benedekrozemberczki / SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
gcn graphsage graph-convolution graph-embedding deepwalk node2vec graph-attention network-embedding node-classification signed-network sgcn deep-learning graph-neural-networks neural-network pytorch machine-learning pytorch-geometric transformer gpt2 gpt3
Language:Python 272
SEAL-CI
benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms deepwalk node2vec graph-neural-network graph-representation-learning network-embedding graph-embedding graph-convolution machine-learning-algorithms gnn graph-neural-networks
Language:Python 210
dhavalpotdar / Graph-Convolution-on-Structured-Documents
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
computer-vision deep-learning graph-convolution geometric-deep-learning
Language:Python 145
aimat-lab / gcnn_keras
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
graph-algorithms graph-convolution graph-networks graphs machine-learning molecules networks neural-networks ragged-tensors
Language:Jupyter Notebook 113
walklets
benedekrozemberczki / walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
embedding deepwalk walklet multiscale node-embedding graph-embedding machine-learning dimensionality-reduction word2vec node2vec graphlet word-embedding node-classification edge-prediction dont-walk-skip graph-mining gensim graph-neural-networks graph-convolution deep-learning
Language:Python 105
FangpingWan / NeoDTI
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
computational-biology bioinformatics graph-convolution deep-learning machine-learning
Language:Python 76
TENE
benedekrozemberczki / TENE
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
deep-learning network-embedding machine-learning node-embedding attributed-embedding deepwalk node2vec graph-convolution graph-neural-network matrix-factorization implicit-factorization feature-extraction pattern-recognition asne tadw tensorflow pytorch graph-embedding matrix-decomposition node-classification
Language:Python 74
he-dhamo / simsg
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
scene-graphs image-manipulation gans generative-models pytorch deep-learning graph-convolution
Language:Python 59
diegovalsesia / GraphCNN-GAN
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
point-clouds graph-convolution shapenet gan generative-model generative-adversarial-network
Language:Python 58
FEATHER
benedekrozemberczki / FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
node-embedding graph-embedding network-embedding deep-learning node-classification graph-classification machine-learning data-mining networkx graph-convolution graph2vec deepwalk node2vec deep-neural-networks neural-network graph-kernel graph tensorflow pytorch representation-learning
Language:Python 50
pulkit1joshi / SimGNN
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
gcn gnn simgnn ged graph-theory similarity-score attention-mechanism machine-learning wsdm keras deep-learning network-embedding graph-convolution graph-similarity graph-similarity-algorithms graph-attention hacktoberfest synthetic-data withsyntheticdata neural-network
Language:Python 35
AmitRoy7781 / USTGCN
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
traffic-forecasting graph-neural-network graph-convolution spatio-temporal-prediction gnn graph-ml
Language:Python 33
iggisv9t / graph-stuff
Things related to graphs
feature-extraction graph graph-convolution network
Language:Jupyter Notebook 30
VincLee8188 / Spatio-temporal-forecasting-PyTorch
Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which including the use of graph convolutional neural networks, gated recurrent units and transformers.
pytorch graph-convolution transformers encoder-decoder
Language:Python 24
sj-li / PR-GCN
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition(RA-L with ICRA 2021)
graph-convolution skeleton-based-action-recognition
Language:Python 19
ynxu15 / pgcn
Path conditioned Graph Convolutional Network
graph-convolutional-networks graph-convolution recommender-system vertex-representation-learning recommendation interaction-sequence
Language:Python 19
thisisbhavin / graphicalForest
Using the adjacency matrix and random forest get the Name, Address, Items, Prices, Grand total from all kind of invoices.
graph-neural-networks graph-convolution graph random-forest adjacency-matrix information-retrieval invoice-parser
Language:Python 18
jeongwhanchoi / GFSA
"Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024
graph graph-convolution graph-signal-processing oversmoothing self-attention transformer
Language:Python 17
Billy1900 / GNN-Learning-and-Integration
Awesome GNN Learning For beginners
gnn graph-neural-networks gnn-learning machine-learning pytorch batch-size graph-convolution
13
DavidZWZ / LightGODE
[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
graph-recommendations efficient-recommendation graph-convolution graph-convolutional-networks recommendation recommender-system
Language:Python 12
XiaShan1227 / Self-Attention-Graph-Pooling
Self-Attention Graph Pooling [ICML-2019]
attention-mechanism graph-classification graph-convolution graph-pooling deep-learning gnn pytorch-geometric global-pooling hierarchical-pooling
Language:Python 9
ericgossett / higher-order-graph-convolutional-neural-network
A Tensorflow implementation of a higher order graph convolutional neural network
graph tensorflow deep-learning graph-convolutional-network graph-convolutional-networks graph-convolution neural-network
Language:Python 8
XiaShan1227 / SimGNN
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
attention-mechanism deep-learning gnn graph-convolution pytorch simgnn graph-embedding node-embedding graph-similarity neural-tensor-network pytorch-geometric pytorch-implementation
Language:Python 7
ioannisa92 / Nanopore_modification_inference
Graph Convolution based model for de novo identification of nucleotide modifications
nanopore nanopore-sequencing graph-convolution
Language:Python 6
VirtualRoyalty / Text-level-GCN
Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"
graphneuralnetwork graphconvoltution gcn text-classification graph-signal-processing graph-neural-networks graph-convolution
Language:Jupyter Notebook 6
deinal / infant-aagcn
Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks
graph-convolution neurodevelopment pytorch-lightning representation-learning
Language:Jupyter Notebook 3
hannesk95 / ExplainingAnatomicalShapeVariability
This work showcases a variational graph autoencoder disentanglement using 3D mesh data.
graph-convolution anatomical-shape-analysis hippocampus latent-space-disentanglement geometric-deep-learning
Language:HTML 3

graph-convolution

benedekrozemberczki / pytorch_geometric_temporal

benedekrozemberczki / CapsGNN

benedekrozemberczki / ClusterGCN

benedekrozemberczki / SimGNN

benedekrozemberczki / datasets

benedekrozemberczki / GraphWaveletNeuralNetwork

benedekrozemberczki / MixHop-and-N-GCN

bardiadoosti / HOPE

benedekrozemberczki / GAM

benedekrozemberczki / SGCN

benedekrozemberczki / SEAL-CI

dhavalpotdar / Graph-Convolution-on-Structured-Documents

aimat-lab / gcnn_keras

benedekrozemberczki / walklets

FangpingWan / NeoDTI

benedekrozemberczki / TENE

he-dhamo / simsg

diegovalsesia / GraphCNN-GAN

benedekrozemberczki / FEATHER

pulkit1joshi / SimGNN

AmitRoy7781 / USTGCN

iggisv9t / graph-stuff

VincLee8188 / Spatio-temporal-forecasting-PyTorch

sj-li / PR-GCN

ynxu15 / pgcn

thisisbhavin / graphicalForest

jeongwhanchoi / GFSA

Billy1900 / GNN-Learning-and-Integration

DavidZWZ / LightGODE

XiaShan1227 / Self-Attention-Graph-Pooling

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

XiaShan1227 / SimGNN

ioannisa92 / Nanopore_modification_inference

VirtualRoyalty / Text-level-GCN

deinal / infant-aagcn

hannesk95 / ExplainingAnatomicalShapeVariability