graph-convolutional-networks

There are 56 repositories under graph-convolutional-networks topic.

pyg-team / pytorch_geometric
Graph Neural Network Library for PyTorch
pytorch geometric-deep-learning graph-neural-networks deep-learning graph-convolutional-networks
Language:Python 16679
awesome-graph-classification
benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
attention-mechanism classification-algorithm deep-graph-kernels deepwalk graph-attention-model graph-attention-networks graph-classification graph-convolutional-networks graph-embedding graph-kernel graph-kernels graph-representation-learning graph2vec kernel-methods netlsd network-embedding node-embedding node2vec structural-attention weisfeiler-lehman
Language:Python 4537
naganandy / graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
graph-neural-networks graph-convolutional-networks graph deep-learning neural-networks graph-representation-learning conference-publications
Language:Jupyter Notebook 4050
alibaba / euler
A distributed graph deep learning framework.
deep-learning gcn ggnn graph graph-convolutional-networks graph-embedding graph-learning graph-neural-networks graphsage network-embedding node2vec random-walk
Language:C++ 2813
stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
graphs machine-learning machine-learning-algorithms graph-convolutional-networks networkx geometric-deep-learning saliency-map interpretability heterogeneous-networks graph-neural-networks graph-analysis graph-machine-learning gcn link-prediction stellargraph-library graph-data python deep-learning data-science
Language:Python 2616
pytorch_geometric_temporal
benedekrozemberczki / pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
pytorch graph-neural-networks temporal-networks temporal-graphs gcn graph-convolutional-networks deep-learning network-science temporal-data node-embedding network-embedding graph-embedding spatial-data spatial-analysis spatio-temporal-data spatio-temporal-analysis gnn graph-convolution spatiotemporal
Language:Python 1914
yao8839836 / text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
deep-learning nlp text-classification graph-convolutional-networks
Language:Python 1221
lightaime / deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
graph-neural-networks geometric-deep-learning 3d-point-clouds deep-gcns data-mining pytorch computer-vision bioinformatics cheminformatics social-network science-research deep-learning graph-convolutional-networks
Language:Python 1003
dsgiitr / graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
graph-representation-learning graph-convolutional-networks graph-attention-networks graph-embedding deepwalk node-embedding graph-sage chebyshev-polynomials pytorch
Language:Jupyter Notebook 926
dair-ai / GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
deep-learning graph graph-convolutional-networks graph-neural-networks machine-learning
898
safe-graph / graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
academic-publications awsome-list data-mining data-science deep-learning fraud-detection graph-algorithms graph-convolutional-networks graph-neural-networks machine-learning papers security spam-detection
846
IndexFziQ / GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
graph-neural-network natural-language-processing graph-convolutional-networks question-answering paperlist knowledge-graph knowledge-representation knowledge-based-systems graph-attention-network heterogeneous-graphs paper-list
802
shubhomoydas / ad_examples
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.
active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed
Language:Python 791
DSE-MSU / DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
adversarial-attacks adversarial-examples deep-neural-networks defense graph-neural-networks machine-learning deep-learning graph-convolutional-networks graph-mining
Language:Python 772
GNNs-for-NLP
svjan5 / GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
graph-convolutional-networks deep-learning tutorial emnlp2019 tensorflow pytorch
Language:Python 770
ClusterGCN
benedekrozemberczki / ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
gcn graph-convolution graph-neural-networks graph-convolutional-networks deepwalk node2vec pytorch graphsage graph2vec musae gemsec diff2vec community-detection clustering graph-clustering node-classification neural-network deep-learning metis louvain
Language:Python 697
tsinghua-fib-lab / GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks.
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval
578
chainer / chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
deep-learning chemistry neural-network biology chainer python graph-convolutional-networks
Language:Python 557
safe-graph / DGFraud
A Deep Graph-based Toolbox for Fraud Detection
fraud-detection fraud-prevention anomaly-detection graph-algorithms graphneuralnetwork machine-learning opensource toolkit datamining datascience spamdetection financial-engineering security security-tools outlier-detection yelp-dataset dblp-dataset graph graph-convolutional-networks graph-neural-networks
Language:Python 539
vaticle / typedb-ml
TypeDB-ML is the Machine Learning integrations library for TypeDB
grakn graql machine-learning artificial-intelligence ml knowledge-graph knowledgebase link-prediction relational-learning knowledge-graph-completion graph-convolutional-networks graph-networks neural-network python tensorflow graph graphs ai geometric-deep-learning
Language:Python 534
CompGCN
malllabiisc / CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
link-prediction relation-embeddings iclr2020 graph-convolutional-networks deep-learning pytorch graph-representation-learning
Language:Python 512
Mariewelt / OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
computational-chemistry computational-biology deep-learning deep-neural-networks graph-convolutional-networks drug-discovery drug-design qsar predictive-modeling machine-learning pytorch
Language:Python 500
PetarV- / DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
deep-graph-infomax graph-convolutional-networks neural-networks python pytorch unsupervised-learning unsupervised-node-embedding
Language:Python 498
matenure / FastGCN
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
graph-convolutional-networks graphsage fastgcn reddit
Language:Python 490
chaitjo / awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
efficient-deep-learning efficient-neural-networks gnn graph-convolutional-networks graph-neural-networks graph-representation-learning scalable-deep-learning
456
Cartus / AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
graph-neural-networks graph-convolutional-networks information-extraction relation-extraction nlp deep-learning
Language:Python 407
garyzhao / SemGCN
The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
human-pose-estimation 3d-pose-estimation graph-convolutional-networks
Language:Python 404
mims-harvard / decagon
Graph convolutional neural network for multirelational link prediction
graph-convolutional-networks deep-learning representation-learning embeddings pharmacology graph-neural-networks
Language:Jupyter Notebook 399
hwwang55 / KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
graph-convolutional-networks knowledge-graph recommender-systems
Language:Python 392
abduallahmohamed / Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
spatio-temporal-graphs pedestrians social-stgcnn human-trajectory-prediction pedestrian-trajectories graph-convolutional-networks gcnn graph-neural-networks realtime
Language:Python 361
Zhongdao / gcn_clustering
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
face-clustering clustering gcn graph-convolutional-networks
Language:Jupyter Notebook 339
zhiyongc / Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
traffic-graph-convolution traffic-flow-prediction graph graph-convolutional-networks lstm traffic-prediction traffic-forecasting
Language:Jupyter Notebook 310
kyzhouhzau / NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
tensorflow2 bert gpt2 albert bert-ner bert-cls textcnn bilstm-attention albert-ner tf2 message-passing gcn gin gan graph-convolutional-networks graphsage graph-classfication textgcn nlp gnn
Language:Python 308
yueliu1999 / Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
deep-clustering graph-neural-networks self-supervised-learning representation-learning surveys data-mining deep-learning graph-convolutional-networks graph-embedding network-embedding gcn machine-learning clustering data-mining-algorithms graphclustering
Language:Python 308
bknyaz / graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
graph graph-convolutional-networks gcn pytorch multigraph graph-classification graph-unet pooling
Language:Jupyter Notebook 304
lrjconan / LanczosNetwork
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
graph-neural-networks graph-convolutional-networks lanczos-network iclr2019 benchmark pytorch
Language:Python 303

graph-convolutional-networks

pyg-team / pytorch_geometric

benedekrozemberczki / awesome-graph-classification

naganandy / graph-based-deep-learning-literature

alibaba / euler

stellargraph / stellargraph

benedekrozemberczki / pytorch_geometric_temporal

yao8839836 / text_gcn

lightaime / deep_gcns_torch

dsgiitr / graph_nets

dair-ai / GNNs-Recipe

safe-graph / graph-fraud-detection-papers

IndexFziQ / GNN4NLP-Papers

shubhomoydas / ad_examples

DSE-MSU / DeepRobust

svjan5 / GNNs-for-NLP

benedekrozemberczki / ClusterGCN

tsinghua-fib-lab / GNN-Recommender-Systems

chainer / chainer-chemistry

safe-graph / DGFraud

vaticle / typedb-ml

malllabiisc / CompGCN

Mariewelt / OpenChem

PetarV- / DGI

matenure / FastGCN

chaitjo / awesome-efficient-gnn

Cartus / AGGCN

garyzhao / SemGCN

mims-harvard / decagon

hwwang55 / KGCN

abduallahmohamed / Social-STGCNN

Zhongdao / gcn_clustering

zhiyongc / Graph_Convolutional_LSTM

kyzhouhzau / NLPGNN

yueliu1999 / Awesome-Deep-Graph-Clustering

bknyaz / graph_nn

lrjconan / LanczosNetwork