Projects in Awesome Lists tagged with graph-convolutional-networks

https://github.com/pyg-team/pytorch_geometric

Graph Neural Network Library for PyTorch

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

Last synced: 12 May 2025

https://rusty1s.github.io/pytorch_geometric

Graph Neural Network Library for PyTorch

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

Last synced: 11 May 2025

https://github.com/naganandy/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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

Last synced: 25 Apr 2025

https://github.com/stellargraph/stellargraph

StellarGraph - Machine Learning on Graphs

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

Last synced: 14 May 2025

https://github.com/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

Last synced: 05 Oct 2025

https://github.com/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

Last synced: 23 Apr 2025

https://github.com/safe-graph/graph-fraud-detection-papers

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

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

Last synced: 26 Jan 2026

https://github.com/yao8839836/text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

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

Last synced: 16 May 2025

https://github.com/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

Last synced: 28 Jan 2026

https://github.com/dsgiitr/graph_nets

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

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

Last synced: 14 May 2025

https://github.com/lightaime/deep_gcns_torch

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

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

Last synced: 16 May 2025

https://github.com/dse-msu/deeprobust

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

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

Last synced: 21 Oct 2025

https://github.com/DSE-MSU/DeepRobust

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

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

Last synced: 12 May 2025

https://github.com/tsinghua-fib-lab/GNN-Recommender-Systems

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

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

Last synced: 06 May 2025

https://github.com/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

Last synced: 16 Mar 2025

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/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

Last synced: 01 May 2025

https://github.com/safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 01 Apr 2025

https://github.com/safe-graph/dgfraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 04 Apr 2025

https://github.com/Mariewelt/OpenChem

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

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

Last synced: 04 May 2025

https://github.com/chainer/chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

biology chainer chemistry deep-learning graph-convolutional-networks neural-network python

Last synced: 13 Apr 2025

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/Malllabiisc/CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

deep-learning graph-convolutional-networks graph-representation-learning iclr2020 link-prediction pytorch relation-embeddings

Last synced: 21 Jul 2025

https://github.com/jwwthu/GNN-Communication-Networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

commmunication-networks graph graph-convolutional-networks graph-neural-network

Last synced: 31 May 2026

https://github.com/typedb/typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB

ai artificial-intelligence geometric-deep-learning grakn graph graph-convolutional-networks graph-networks graphs graql knowledge-graph knowledge-graph-completion knowledgebase link-prediction machine-learning ml neural-network python relational-learning tensorflow

Last synced: 14 Dec 2025

https://github.com/jwwthu/gnn-communication-networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

commmunication-networks graph graph-convolutional-networks graph-neural-network

Last synced: 09 Oct 2025

https://github.com/chaitjo/efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

contrastive-learning efficient-deep-learning efficient-neural-networks gnn graph-convolutional-networks graph-neural-networks graph-representation-learning knowledge-distillation scalable-deep-learning

Last synced: 05 Apr 2025

https://github.com/matenure/FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fastgcn graph-convolutional-networks graphsage reddit

Last synced: 03 Apr 2025

https://github.com/hwwang55/KGCN

A tensorflow implementation of Knowledge Graph Convolutional Networks

graph-convolutional-networks knowledge-graph recommender-systems

Last synced: 20 Jul 2025

https://github.com/mims-harvard/decagon

Graph convolutional neural network for multirelational link prediction

deep-learning embeddings graph-convolutional-networks graph-neural-networks pharmacology representation-learning

Last synced: 10 Oct 2025

https://github.com/Cartus/AGGCN_TACRED

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

deep-learning graph-convolutional-networks graph-neural-networks information-extraction nlp relation-extraction

Last synced: 16 Apr 2025

https://github.com/garyzhao/SemGCN

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

3d-pose-estimation graph-convolutional-networks human-pose-estimation

Last synced: 13 Feb 2026

https://github.com/Cartus/AGGCN

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

deep-learning graph-convolutional-networks graph-neural-networks information-extraction nlp relation-extraction

Last synced: 02 Apr 2025

https://github.com/zhiyongc/Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

graph graph-convolutional-networks lstm traffic-flow-prediction traffic-forecasting traffic-graph-convolution traffic-prediction

Last synced: 21 Jul 2025

https://github.com/zhongdao/gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

clustering face-clustering gcn graph-convolutional-networks

Last synced: 06 Apr 2025

https://github.com/Zhongdao/gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

clustering face-clustering gcn graph-convolutional-networks

Last synced: 02 Apr 2025

https://github.com/mlabonne/graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

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

Last synced: 06 Apr 2025

https://github.com/kyzhouhzau/nlpgnn

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

albert albert-ner bert bert-cls bert-ner bilstm-attention gan gcn gin gnn gpt2 graph-classfication graph-convolutional-networks graphsage message-passing nlp tensorflow2 textcnn textgcn tf2

Last synced: 05 Apr 2025

https://github.com/bknyaz/graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

gcn graph graph-classification graph-convolutional-networks graph-unet multigraph pooling pytorch

Last synced: 01 May 2025

https://github.com/twitter-research/graph-neural-pde

Graph Neural PDEs

deep-learning graph-convolutional-networks graph-neural-networks partial-differential-equations pytorch

Last synced: 27 Mar 2025

https://github.com/flatironinstitute/DeepFRI

Deep functional residue identification

class-activation-maps deep-learning gene-ontology graph-convolutional-networks machine-learning protein-data-bank tensorflow

Last synced: 21 Jul 2025

https://github.com/flatironinstitute/deepfri

Deep functional residue identification

class-activation-maps deep-learning gene-ontology graph-convolutional-networks machine-learning protein-data-bank tensorflow

Last synced: 06 Apr 2025

https://github.com/qianlim/CAPE

Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615

clothing cvpr cvpr-2020 cvpr2020 graph-convolutional-networks mesh-generation smpl-body smpl-model vae-gan

Last synced: 22 Jul 2025

https://github.com/lrjconan/LanczosNetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

benchmark graph-convolutional-networks graph-neural-networks iclr2019 lanczos-network pytorch

Last synced: 01 May 2025

https://github.com/xptree/deepinf

DeepInf: Social Influence Prediction with Deep Learning

graph-attention-networks graph-convolutional-networks pytorch social-network

Last synced: 24 Aug 2025

https://github.com/malllabiisc/WordGCN

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

acl2019 deep-learning-tutorial gcn graph-convolutional-networks natural-language-processing tensorflow word-embeddings

Last synced: 02 Apr 2025

https://github.com/bdy9527/SDCN

Structural Deep Clustering Network

autoencoder deep-clustering graph-convolutional-networks knn-graphs self-supervised-learning

Last synced: 08 Apr 2025

https://github.com/aptx1231/Traffic-Prediction-Open-Code-Summary

Summary of open source code for deep learning models in the field of traffic prediction

deep-learning estimated-time-of-arrival graph-convolutional-networks graph-neural-networks libcity on-demand on-demand-service open-code open-source paper-list spatio-temporal spatio-temporal-prediction time-series-prediction traffic traffic-accident-prediction traffic-flow-prediction traffic-prediction traffic-speed-prediction trajectory-prediction travel-time-prediction

Last synced: 23 Apr 2025

https://github.com/malllabiisc/RESIDE

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

deep-learning distant-supervision graph-convolutional-networks natural-language-processing neural-relation-extraction relation-extraction

Last synced: 02 Apr 2025

https://github.com/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

Last synced: 20 Mar 2025

https://github.com/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

Last synced: 08 May 2025

https://github.com/icoxfog417/graph-convolution-nlp

Graph Convolution Network for NLP

graph-convolutional-networks machine-learning natural-language-processing nlp

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 27 Mar 2025

https://github.com/mims-harvard/graphml-tutorials

Tutorials for Machine Learning on Graphs

deep-learning embeddings graph-convolutional-networks graph-ml graph-neural-networks network-embeddings networks representation-learning tutorials

Last synced: 10 Oct 2025

https://github.com/pyg-team/pyg-lib

Low-Level Graph Neural Network Operators for PyG

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

Last synced: 08 Apr 2025

https://github.com/HennyJie/BrainGB

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

ai4health brain-networks gcn graph-convolutional-networks graph-neural-networks network-embedding pytorch

Last synced: 01 May 2025

https://github.com/ianycxu/RGCN-with-BERT

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

bert bert-model coreference-resolution gcn gnn graph-convolutional-networks graph-neural-networks nlp pytorch

Last synced: 16 Apr 2025

https://github.com/ianycxu/GCN-with-BERT

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

bert bert-model coreference-resolution gcn gnn graph-convolutional-networks graph-neural-networks nlp pytorch

Last synced: 02 Apr 2025

https://github.com/bkj/pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

graph-convolutional-networks graphsage neural-network

Last synced: 07 Sep 2025

https://github.com/plkmo/Bible_Text_GCN

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

gcn graph-convolution-network graph-convolutional-networks graph-neural-networks natural-language-processing semi-supervised-learning text-classification

Last synced: 02 Apr 2025

https://github.com/sjtuzq/person_search_gcn

[CVPR2019, Oral] Learning Context Graph for Person Search

graph-convolutional-networks person-search re-id

Last synced: 02 Apr 2025

https://github.com/JD-AI-Research-Silicon-Valley/SACN

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

graph-convolutional-networks knowledge-graph knowledge-graph-completion pytorch sacn

Last synced: 21 Jul 2025

https://github.com/tony-y/cgnn

Crystal Graph Neural Networks

colab-notebook data-mining deep-learning graph-convolutional-networks graph-neural-networks graph-theory materials-science neural-networks oqmd pytorch

Last synced: 29 Oct 2025

https://github.com/Tony-Y/cgnn

Crystal Graph Neural Networks

colab-notebook data-mining deep-learning graph-convolutional-networks graph-neural-networks graph-theory materials-science neural-networks oqmd pytorch

Last synced: 27 Mar 2025

https://github.com/Evgeneus/Graph-Domain-Adaptaion

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

cdan computer-vision coteaching curriculum-learning domain-adaptation domainnet graph-convolutional-networks graph-domain-adaptation graph-neural-networks mtdap office pacs pytorch

Last synced: 08 May 2025

https://github.com/kevalmorabia97/cova-web-object-detection

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

attention computer-vision convolutional-neural-networks deep-learning graph-attention-networks graph-convolutional-networks information-extraction multimodal-learning object-detection pytorch visual-attention

Last synced: 07 Apr 2025

https://github.com/pfnet-research/graph-nvp

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

chainer chemistry deep-learning generative-model graph-convolutional-networks invertible-neural-networks neural-network python

Last synced: 13 Oct 2025

https://github.com/yao8839836/fast_text_gcn

FastGCN for inductive text classification

graph-convolutional-networks text-classification

Last synced: 24 Apr 2025

https://github.com/edisonleeeee/greatx

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

adversarial-attacks distribution-shift graph-convolutional-networks graph-neural-networks graph-reliability-toolbox inherent-noise pytorch pytorch-geometric

Last synced: 05 Apr 2025

https://github.com/pfnet-research/chainer-graph-cnn

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

chainer graph-convolutional-networks

Last synced: 13 Apr 2025

https://github.com/deeplearnphysics/dynamic-gcnn

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

convolutional-neural-networks custom-data dgcnn gcnn graph-convolutional-networks python tensorflow

Last synced: 13 Apr 2025

https://github.com/pfnet-research/bayesgrad

BayesGrad: Explaining Predictions of Graph Convolutional Networks

chainer chemistry deep-learning graph-convolutional-networks interpretability neural-network python saliency

Last synced: 13 Apr 2025

https://github.com/gmum/geo-gcn

The official implementation of the SGCN architecture.

cheminformatics convolutional-neural-networks graph-convolutional-networks missing-data

Last synced: 23 Oct 2025

https://github.com/leftthomas/DGCNN

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

gcn gnn graph graph-classification graph-convolutional-networks pytorch

Last synced: 27 Mar 2025

https://github.com/DeepLearnPhysics/dynamic-gcnn

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

convolutional-neural-networks custom-data dgcnn gcnn graph-convolutional-networks python tensorflow

Last synced: 20 Mar 2025

https://github.com/chandlerbang/simp-gcn

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

adversarial-attacks deep-learning graph-convolutional-networks graph-mining graph-neural-networks robustness

Last synced: 08 Apr 2025

https://github.com/mims-harvard/GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

adversarial-attacks deep-learning graph-convolutional-networks graph-neural-networks robust-learning

Last synced: 21 Jul 2025

https://github.com/aimagelab/stage_action_detection

Code of the STAGE module for video action detection

action-detection action-recognition graph-convolutional-networks pytorch

Last synced: 11 Apr 2025

https://github.com/ddsediri/IterativePFN

Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).

denoising filtering graph-convolutional-networks pointcloud

Last synced: 20 Mar 2025

https://github.com/rusty1s/graph-based-image-classification

Implementation of Planar Graph Convolutional Networks in TensorFlow

convolutional-neural-networks gcn graph graph-convolutional-networks pgcn planar-graph-convolutional-networks planar-graphs python spatial spectral tensorflow

Last synced: 30 Apr 2025

https://github.com/kunzhan/sdsne

AAAI 2022 (Oral): Stationary diffusion state neural estimation

graph-convolutional-networks graph-neural-networks multi-modal multi-view multiview multiview-clustering multiview-learning

Last synced: 06 May 2025

https://github.com/qdata/chromegcn

Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

dna dna-sequences genomics graph-convolutional-networks graph-neural-networks hi-c

Last synced: 14 Mar 2026

https://github.com/gcucurull/jax-gcn

Graph Convolutional Networks in JAX

gcn graph-convolutional-networks graph-neural-networks jax

Last synced: 30 Apr 2025

https://github.com/VITA-Group/L2-GCN

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

efficient-training gcn graph-convolutional-networks learning-to-learn

Last synced: 21 Jul 2025

https://github.com/vita-group/l2-gcn

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

efficient-training gcn graph-convolutional-networks learning-to-learn

Last synced: 19 Apr 2025

https://github.com/lgalke/lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

continual-learning deep-learning evolving-graphs graph-convolutional-networks graph-neural-networks lifelong-learning node-classification pytorch unseen-class-detection

Last synced: 27 Dec 2025

https://github.com/Zhenye-Na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 02 Apr 2025

https://github.com/zhenye-na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 02 May 2025

https://github.com/luoyuanlab/text_gcn_tutorial

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

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

Last synced: 02 Apr 2025

https://github.com/yuanluo/text_gcn_tutorial

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

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

Last synced: 21 Mar 2025

https://github.com/fork123aniket/molecule-graph-generation

Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch

graph-convolutional-networks graph-neural-networks pytorch pytorch-geometric pytorch-tutorial variational-graph-auto-encoder

Last synced: 13 Apr 2025

https://github.com/kanchishimono/kgcn

Tensorflow 2.0 implementation of Knowledge Graph Convolutional Networks for Recommender Systems

graph-convolutional-networks graph-neural-networks keras-tensorflow knowledge-graph recommender-system tensorflow tensorflow2

Last synced: 15 Apr 2025

https://github.com/benedekrozemberczki/resolutions-2019

A list of data mining and machine learning papers that I implemented in 2019.

attention-mechanism deep-learning deepwalk gcn graph-classification graph-clustering graph-convolutional-networks graph-embedding graph-kernel machine-learning network-embedding network-science node-classification node-embedding node2vec pytorch resolution scipy sklearn tensorflow

Last synced: 11 Apr 2025

https://github.com/Gaozhongpai/LSAConvMesh

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

3d-reconstruction 3d-vision graph-convolutional-networks mesh-generation pytorch

Last synced: 20 Mar 2025

https://github.com/pfnet-research/step-wise-chemical-synthesis-prediction

A GGNN-GWM based step-wise framework for Chemical Synthesis Prediction

chainer chemical-reactions deep-learning graph-convolutional-networks graph-neural-networks python

Last synced: 13 Apr 2025

https://github.com/dobraczka/gnntutorial

A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks

gat gcn graph-convolutional-networks graph-neural-networks rgcn

Last synced: 19 Apr 2025

https://github.com/laminetourelab/mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.

deep-learning graph-convolutional-networks machine-learning mogonet multi-omics multi-omics-integration multimodal-deep-learning pytorch