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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/FujitsuLaboratories/bermudatriangles

공식 코드

Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures

https://github.com/GNN-based-MIMO-Detection/GNN-based-MIMO-Detection

공식 코드

Graph Neural Network Aided MU-MIMO Detectors

https://github.com/Gbouna/MAK-GCN

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Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition

https://github.com/GemsLab/H2GCN

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Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

https://github.com/GeoDS/LSTM-TrajGAN

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LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

https://github.com/GongShuai8210/PLAN

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Federated Domain Generalization via Prompt Learning and Aggregation

https://github.com/Gp1g/RFL

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FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

https://github.com/Graph-Machine-Learning-Group/grin

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Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

https://github.com/HE-diffusion/HE-diffusion

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Privacy-Preserving Diffusion Model Using Homomorphic Encryption

https://github.com/HKUST-KnowComp/FKGE

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Differentially Private Federated Knowledge Graphs Embedding

https://github.com/Hami-Siami/BrainLeaks

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BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks

https://github.com/HammerLabML/SPIGNNs_for_WDSs

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Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems

https://github.com/HanGyojin/RLB-MI

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Reinforcement Learning-Based Black-Box Model Inversion Attacks

https://github.com/HaoZhongkai/AS_Molecule

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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

https://github.com/HazeDT/ARGWAE

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A Novel Unsupervised Graph Wavelet Autoencoder for Mechanical System Fault Detection

https://github.com/HekpoMaH/algorithmic-concepts-reasoning

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Algorithmic Concept-based Explainable Reasoning

https://github.com/Homagn/Few_shot_clustering

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Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras

https://github.com/IBM/IPC-graph-data

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Online Planner Selection with Graph Neural Networks and Adaptive Scheduling

https://github.com/IBM/ai-privacy-toolkit

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Anonymizing Machine Learning Models

https://github.com/IIT-PAVIS/Flatlandia

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3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset

https://github.com/IIT-PAVIS/Positional_Diffusion

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Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

https://github.com/Intelligent-Computing-Lab-Yale/FedSNN

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Federated Learning with Spiking Neural Networks

https://github.com/Ivanopolo/modnet

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Unsupervised Community Detection with Modularity-Based Attention Model

https://github.com/JRowbottomGit/g-adaptivity

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G-Adaptivity: optimised graph-based mesh relocation for finite element methods

https://github.com/JasonZhujp/RELIEF

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RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning

https://github.com/Jenny-Zhu/CSI-Bench-Real-WiFi-Sensing-Benchmark

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CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing

https://github.com/JetRichardLee/Attack-XGNN

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Graph Neural Network Explanations are Fragile

https://github.com/Jiaolong/gcn-parking-slot

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Attentional Graph Neural Network for Parking-slot Detection

https://github.com/JiaxuanYou/P-GNN

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Position-aware Graph Neural Networks

https://github.com/JimLiu96/MITGNN

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Basket Recommendation with Multi-Intent Translation Graph Neural Network

https://github.com/JinyuZ1996/RL-ISN

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Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

https://github.com/JinyuZ1996/TiDA-GCN

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Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation

https://github.com/JiuhaiChen/EBBS

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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features

https://github.com/JizhiziLi/P3M

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Privacy-Preserving Portrait Matting

https://github.com/JonasNasimzada/LetsPlay4Emotion

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Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints

https://github.com/JulySinceAndrew/FedNewsRec-EMNLP-Findings-2020

공식 코드

Privacy-Preserving News Recommendation Model Learning

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