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Privacy Preserving

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

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

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

https://github.com/Syzygianinfern0/Functional-Encryption

Partially Encrypted Machine Learning using Functional Encryption

https://github.com/TAMU-VITA/Privacy-AdversarialLearning

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

https://github.com/TYtrack/FedNLP

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

https://github.com/TeCSAR-UNCC/S-RAD-ActionLocalizationClassification

Single Run Action Detector over Video Stream -- A Privacy Preserving Approach

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/TianyueChu/FedQV

FedQV: Leveraging Quadratic Voting in Federated Learning

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/TsingZ0/HtFL

FedGH: Heterogeneous Federated Learning with Generalized Global Header

https://github.com/TsingZ0/PFL-Non-IID

Personalized Federated Learning with Moreau Envelopes

https://github.com/TsingZ0/PFLlib

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

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/WonJoon-Yun/Non-IID-Dataset-Generator-Direc-Delta

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

https://github.com/Xtra-Computing/PrivML

Privacy-Preserving Gradient Boosting Decision Trees

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

https://github.com/ZM7/A-PGNN

Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation

https://github.com/ZM7/Personalizing-Graph-Neural-Networks-for-Session-basedRecommendation

Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation

https://github.com/a514514772/fedlap-dp

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

https://github.com/abdulmajid-murad/deep_probabilistic_forecast

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

https://github.com/acleclair/ICPC2020_GNN

Improved Code Summarization via a Graph Neural Network

https://github.com/adrinta/MAGNET

Multi-Label Text Classification using Attention-based Graph Neural Network

https://github.com/afansi/multiscalegnn

Supervised Community Detection with Line Graph Neural Networks

https://github.com/ai4cts/lightcts

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

Multi-Label Text Classification using Attention-based Graph Neural Network

https://github.com/alexander-belyi/gnns

Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection

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