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Privacy Preserving

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코드

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

https://github.com/core-robotics-lab/opponent-modeling

공식 코드

Learning Models of Adversarial Agent Behavior under Partial Observability

https://github.com/cripac-dig/graphctr

공식 코드

GraphFM: Graph Factorization Machines for Feature Interaction Modeling

https://github.com/critical88/boxgnn

공식 코드

When Box Meets Graph Neural Network in Tag-aware Recommendation

https://github.com/cryptolabinc/hetal

공식 코드

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

https://github.com/cs-bio/torgnn

공식 코드

Torsion Graph Neural Networks

https://github.com/cscvlab/SN-Graph

공식 코드

SN-Graph: a Minimalist 3D Object Representation for Classification

https://github.com/cshjin/swmp_ml

공식 코드

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement

https://github.com/csiro-robotics/p-gat

공식 코드

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition

https://github.com/csjunjun/ric

공식 코드

Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples

https://github.com/cszhangzhen/HGP-SL

공식 코드

Hierarchical Graph Pooling with Structure Learning

https://github.com/cuent/ogb-kdd21

공식 코드

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction

https://github.com/cuhk-aim-group/deer

공식 코드

DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation

https://github.com/cure-lab/DeepGate

공식 코드

DeepGate: Learning Neural Representations of Logic Gates

https://github.com/cure-lab/deeptpi

공식 코드

DeepTPI: Test Point Insertion with Deep Reinforcement Learning

https://github.com/cvg/gluestick

공식 코드

GlueStick: Robust Image Matching by Sticking Points and Lines Together

https://github.com/cy07gn/teltomob

공식 코드

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach

https://github.com/cynricfu/mecch

공식 코드

MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks

https://github.com/cyrusgeyer/DiffPrivate_FedLearning

공식 코드

Differentially Private Federated Learning: A Client Level Perspective

https://github.com/d-ailin/GDN

공식 코드

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

https://github.com/d-diaa/fastlloyd

공식 코드

FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy

https://github.com/dadacheng/gdp

공식 코드

A Graph Dynamics Prior for Relational Inference

https://github.com/daiquocnguyen/gnn-regvd

공식 코드

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

https://github.com/daisean/hint

공식 코드

Hierarchical information matters: Text classification via tree based graph neural network

https://github.com/daisean/tent

공식 코드

Hierarchical information matters: Text classification via tree based graph neural network

https://github.com/dakuo/haconvgnn

공식 코드

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

https://github.com/daniaherzalla/gnn-jamming-source-localization

공식 코드

Graph Neural Networks for Jamming Source Localization

https://github.com/daniel-toma-toma/msprtGNN

공식 코드

Sequential Classification of Misinformation

https://github.com/danieloaAAU/Power_Control_GNN

공식 코드

Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach

https://github.com/dannis97500/pm-moe

공식 코드

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning

https://github.com/danny0628/fedcar

공식 코드

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning

https://github.com/dariant/id-booth

공식 코드

ID-Booth: Identity-consistent Face Generation with Diffusion Models

https://github.com/datake/AdaGCN

공식 코드

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

https://github.com/daverics/pcmelgan

공식 코드

Adversarial representation learning for private speech generation

https://github.com/david-leon/HAG-Net

공식 코드

Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations

https://github.com/david-yoon/propagate-selector

공식 코드

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

https://github.com/davidnugent2425/he-cc-fraud-detection

공식 코드

Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption

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