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graph-convolutional-networks

Here are 375 public repositories matching this topic...

pyg-team / pytorch_geometric

Graph Neural Network Library for PyTorch

deep-learning pytorch graph-convolutional-networks geometric-deep-learning graph-neural-networks

Updated May 4, 2024
Python

awesome-graph-classification

benedekrozemberczki / awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding

Updated Mar 18, 2023
Python

naganandy / graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

deep-learning graph neural-networks graph-convolutional-networks graph-neural-networks graph-representation-learning conference-publications

Updated Mar 30, 2024
Jupyter Notebook

stellargraph / stellargraph

StellarGraph - Machine Learning on Graphs

python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library

Updated Apr 10, 2024
Python

alibaba / euler

A distributed graph deep learning framework.

deep-learning graph network-embedding random-walk graph-convolutional-networks gcn node2vec graph-embedding graph-learning graphsage graph-neural-networks ggnn

Updated Aug 19, 2023
C++

pytorch_geometric_temporal

benedekrozemberczki / pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs

Updated Apr 15, 2024
Python

yao8839836 / text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

nlp deep-learning text-classification graph-convolutional-networks

Updated Dec 29, 2021
Python

safe-graph / graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

security data-science machine-learning data-mining deep-learning graph-algorithms survey dataset outlier-detection papers academic-publications spam-detection graph-convolutional-networks fraud-detection anomaly-detection graph-neural-networks awsome-list

Updated Apr 23, 2024

lightaime / deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

data-mining bioinformatics computer-vision deep-learning cheminformatics social-network pytorch 3d-point-clouds graph-convolutional-networks science-research geometric-deep-learning graph-neural-networks deep-gcns

Updated Jul 31, 2022
Python

dsgiitr / graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

pytorch deepwalk graph-convolutional-networks graph-embedding graph-attention-networks chebyshev-polynomials graph-representation-learning node-embedding graph-sage

Updated Mar 30, 2023
Jupyter Notebook

dair-ai / GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

machine-learning deep-learning graph graph-convolutional-networks graph-neural-networks

Updated Jan 6, 2023

DSE-MSU / DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

machine-learning deep-neural-networks deep-learning defense graph-mining graph-convolutional-networks adversarial-examples adversarial-attacks graph-neural-networks

Updated Apr 25, 2024
Python

IndexFziQ / GNN4NLP-Papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

natural-language-processing knowledge-graph question-answering knowledge-representation graph-convolutional-networks knowledge-based-systems paperlist paper-list graph-neural-network graph-attention-network heterogeneous-graphs

Updated May 9, 2023

tsinghua-fib-lab / GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

information-retrieval recommendation-system recommender-system recommendation recommendation-algorithms graph-convolutional-networks gcn graph-neural-networks graph-representation-learning gnn

Updated Dec 17, 2022

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 Convol…

Updated Mar 24, 2023
Python

GNNs-for-NLP

svjan5 / GNNs-for-NLP

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

tutorial deep-learning tensorflow pytorch graph-convolutional-networks emnlp2019

Updated Mar 24, 2023
Python

ClusterGCN

benedekrozemberczki / ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Updated Nov 6, 2022
Python

yueliu1999 / Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

machine-learning data-mining deep-learning clustering surveys representation-learning data-mining-algorithms network-embedding graph-convolutional-networks gcn graph-embedding graph-neural-networks self-supervised-learning deep-clustering graphclustering

Updated Apr 30, 2024
Python

safe-graph / DGFraud

A Deep Graph-based Toolbox for Fraud Detection

Updated Apr 20, 2022
Python

Mariewelt / OpenChem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

machine-learning deep-neural-networks deep-learning computational-biology pytorch computational-chemistry drug-discovery drug-design predictive-modeling graph-convolutional-networks qsar

Updated Nov 26, 2023
Python

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