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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/xzenglab/resources-for-ddis-prediction-using-dl

공식 코드

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction

https://github.com/xzhang97666/privacyboost-slm

공식 코드

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting

https://github.com/yCobanoglu/infinite-width-gnns

공식 코드

Infinite Width Graph Neural Networks for Node Regression/ Classification

https://github.com/yale-sys/confidential-prompting

공식 코드

Confidential Prompting: Protecting User Prompts from Cloud LLM Providers

https://github.com/yanghu819/Graph-MLP

공식 코드

Graph-MLP: Node Classification without Message Passing in Graph

https://github.com/yangliangwei/dgrec

공식 코드

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation

https://github.com/yangxin666/st-gtrend

공식 코드

Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale

https://github.com/yangysc/resinet

공식 코드

Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features

https://github.com/yanir75/gnn-anomalydetection

공식 코드

Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies

https://github.com/yankang18/attack-defense-vfl

공식 코드

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning

https://github.com/yankang18/fedcg

공식 코드

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning

https://github.com/yash-jakhmola/w-dstagnn

공식 코드

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

https://github.com/yasir-ali-farrukh/gnn4id

공식 코드

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model

https://github.com/yasminsalehi/physgnn

공식 코드

PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery

https://github.com/yassinmihemedi/strong-transitivity-relations-and-graph-neural-network

공식 코드

Strong Transitivity Relations and Graph Neural Networks

https://github.com/yejunzhang/a2-gnn

공식 코드

A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization

https://github.com/yellowshippo/penn-neurips2022

공식 코드

Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions

https://github.com/yeslab-code/htgnn

공식 코드

Heterogeneous Temporal Graph Neural Network

https://github.com/yeweiysh/gnd-nets

공식 코드

Graph Neural Diffusion Networks for Semi-supervised Learning

https://github.com/yf-he/unigraph2

공식 코드

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs

https://github.com/yfqiu-nlp/hiergnn

공식 코드

Abstractive Summarization Guided by Latent Hierarchical Document Structure

https://github.com/yi-ding-cs/LGG

공식 코드

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

https://github.com/yikfungtsai/distfl

공식 코드

DistFL: Distribution-aware Federated Learning for Mobile Scenarios

https://github.com/yimengmin/UTSP

공식 코드

Unsupervised Learning for Solving the Travelling Salesman Problem

https://github.com/yimengmin/geometricscatteringmaximalclique

공식 코드

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

https://github.com/yingjiewangtony/fl-dl

공식 코드

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting

https://github.com/yixinghuang/deepmedicpytorch

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Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation

https://github.com/yjlee22/fkan

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A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging

https://github.com/yjw1029/efficient-fedrec

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Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation

https://github.com/yjw1029/ua-fedrec

공식 코드

UA-FedRec: Untargeted Attack on Federated News Recommendation

https://github.com/ymlasu/para-atm-collection

공식 코드

Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning

https://github.com/yolomax/umtf

공식 코드

Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

https://github.com/yongchao-liu/graphtheta

공식 코드

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

https://github.com/yongchao97/FRePo

공식 코드

Dataset Distillation using Neural Feature Regression

https://github.com/yongjian16/IDGNN

공식 코드

Efficient and Effective Implicit Dynamic Graph Neural Network

https://github.com/youjibiying/gtot-tuning

공식 코드

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

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