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Graph Neural Network

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MindSpore-scientific-2/code-11/tree/main/RGNN

GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network

https://github.com/MindSpore-scientific-2/code-8/tree/main/RGNN

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

https://github.com/MindSpore-scientific/code-1/tree/main/RGNN

GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network

https://github.com/MindSpore-scientific/code-3/tree/main/Analysis-of-Black-Hole-Solutions-in-Parabolic-Class-Using-Neural-Networks

Graph Neural Networks for Social Recommendation

https://github.com/MindSpore-scientific/code-8/tree/main/RGNN

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

https://github.com/MohamedRamzy1/Scan2Mesh

Scan2Mesh: From Unstructured Range Scans to 3D Meshes

https://github.com/Namkyeong/BGRL_Pytorch

Self-supervised Graph Neural Networks without explicit negative sampling

https://github.com/NorthPolesky/GNNpaper

Graph Neural Networks: A Review of Methods and Applications

https://github.com/Onedean/EAC

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting

https://github.com/OpenXAIProject/GNNExplainer-Tutorial

GNNExplainer: Generating Explanations for Graph Neural Networks

https://github.com/PaddlePaddle/PaddleRec/tree/master/models/rank/sign

Detecting Beneficial Feature Interactions for Recommender Systems

https://github.com/PaddlePaddle/PaddleScience/tree/develop/jointContribution/CFDGCN

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

https://github.com/Panichito/GNN-Decision-TSP

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

https://github.com/PasqualeAuriemma/GCN-DIFFPOOL

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/RUCAIBox/RecBole

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

https://github.com/RexYing/diffpool

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/RexYing/graph-pooling

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/Sangs3112/SimGNN

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

https://github.com/ShaharGottlieb/GNNExplainer_DGL

GNNExplainer: Generating Explanations for Graph Neural Networks

https://github.com/ShaoaAllen/CogQA

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

https://github.com/ShirleyMaxx/ContextPose-PyTorch-release

Context Modeling in 3D Human Pose Estimation: A Unified Perspective

https://github.com/Thinklab-SJTU/PCA-GM

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/Thinklab-SJTU/ThinkMatch

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/Tioz90/DiffPool

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/Tioz90/GCN

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/Userepic/KGAT-pytorch-master

KGAT: Knowledge Graph Attention Network for Recommendation

https://github.com/VisiumCH/AMLD-2021-Graphs

GNNExplainer: Generating Explanations for Graph Neural Networks

https://github.com/VoVAllen/diffpool

Hierarchical Graph Representation Learning with Differentiable Pooling

https://github.com/Vvrep/SHARE-parking_availability_prediction-Pytorch

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

https://github.com/Wang-Shuo/GraphRec_PyTorch

Graph Neural Networks for Social Recommendation

https://github.com/WeiKangda/clutrr

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

https://github.com/YangLiangwei/ConsisRec

Graph Neural Networks for Social Recommendation

https://github.com/Yanteng32/Multi-modal-GNN-for-AD

Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans

https://github.com/YuTesla/KGNN-LS-learn

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

https://github.com/YuweiCao-UIC/KPGNN

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

https://github.com/YuxiangRen/Heterogeneous-Deep-Graph-Infomax

Heterogeneous Deep Graph Infomax

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.