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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/xhcdream/sr-hgnn

공식 코드

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

https://github.com/xhuang2016/gnn-benchmark

공식 코드

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass

https://github.com/xiangwang1223/knowledge_graph_attention_network

공식 코드

KGAT: Knowledge Graph Attention Network for Recommendation

https://github.com/xiangyan93/molecules-enumerate

공식 코드

Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation

https://github.com/xiangyue9607/SanText

공식 코드

Differential Privacy for Text Analytics via Natural Text Sanitization

https://github.com/xiannanhuang/mpstn

공식 코드

Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations

https://github.com/xianyuco/ss-gnn

공식 코드

SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction

https://github.com/xiaofangxd/KEGNAS

공식 코드

Knowledge-aware Evolutionary Graph Neural Architecture Search

https://github.com/xiaolin-cs/bemap

공식 코드

BeMap: Balanced Message Passing for Fair Graph Neural Network

https://github.com/xiaoxinhe/tape_arxiv_2023

공식 코드

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

https://github.com/xiaxx244/shadow_pose_estimation

공식 코드

Privacy-Preserving Pose Estimation for Human-Robot Interaction

https://github.com/xiefeng69/epignn

공식 코드

EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting

https://github.com/xinleihe/contrastiveleaks

공식 코드

Quantifying and Mitigating Privacy Risks of Contrastive Learning

https://github.com/xinlihao/aero

공식 코드

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations

https://github.com/xinshuoweng/GNN3DMOT

공식 코드

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning

https://github.com/xiwenc1/incident-gnn-cp

공식 코드

Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis

https://github.com/xjtuwgt/gnn-magna

공식 코드

Multi-hop Attention Graph Neural Network

https://github.com/xlx0010/hgnn

공식 코드

Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation

https://github.com/xmh1011/at-dgnn

공식 코드

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

https://github.com/xpgogogo/sccdcg

공식 코드

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding

https://github.com/xptree/DeepInf

공식 코드

DeepInf: Social Influence Prediction with Deep Learning

https://github.com/xtxiatong/flea

공식 코드

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation

https://github.com/xu-jingyi/fedcorr

공식 코드

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

https://github.com/xuexue/neuralkanren

공식 코드

Neural Guided Constraint Logic Programming for Program Synthesis

https://github.com/xuhaocuhk/TilinGNN

공식 코드

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

https://github.com/xumengyaamy/synthetic_cat_sd

공식 코드

Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery

https://github.com/xun468/Time-GNN

공식 코드

TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting

https://github.com/xuyankun/stvig-for-reads-v

공식 코드

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

https://github.com/xuyankun/vsvig

공식 코드

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

https://github.com/xxhu94/csgnn

공식 코드

Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection

https://github.com/xxhu94/gat-cobo

공식 코드

GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection

https://github.com/xy2119/Causal_Knowledge_GNN

공식 코드

Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge

https://github.com/xyanchen/wifi-csi-sensing-benchmark

공식 코드

AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning

https://github.com/xydong127/rqgnn

공식 코드

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection

https://github.com/xydong127/spacegnn

공식 코드

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels

https://github.com/xygaog/cgc

공식 코드

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition

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