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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/youngfly11/LCMCG-PyTorch

공식 코드

Learning Cross-modal Context Graph for Visual Grounding

https://github.com/youpengl/FedCAP

공식 코드

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization

https://github.com/youqingxiaozhua/deepternary

공식 코드

SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation

https://github.com/yousia/lgr_ad

공식 코드

Learning Graph Representation of Agent Diffusers

https://github.com/yshenaw/Globecom2019

공식 코드

A Graph Neural Network Approach for Scalable Wireless Power Control

https://github.com/ytingma/ppidsg

공식 코드

PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning

https://github.com/yuandou168/price

공식 코드

PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds

https://github.com/yuangao-yg/neuralom

공식 코드

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

https://github.com/yuening-lab/f2gnn

공식 코드

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

https://github.com/yueyu1030/SumGNN

공식 코드

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

https://github.com/yujiaw98/fadas

공식 코드

FADAS: Towards Federated Adaptive Asynchronous Optimization

https://github.com/yukarisonz/fsl-gan

공식 코드

Federated Split GANs

https://github.com/yukw777/temporal-discrete-graph-updater

공식 코드

Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games

https://github.com/yul091/graphlogad

공식 코드

GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection

https://github.com/yule-BUAA/LEGNN

공식 코드

Label-Enhanced Graph Neural Network for Semi-supervised Node Classification

https://github.com/yule-BUAA/R-HGNN

공식 코드

Heterogeneous Graph Representation Learning with Relation Awareness

https://github.com/yumenomae/passat_5p625

공식 코드

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

https://github.com/yuny220/NAR-Former-V2

공식 코드

NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning

https://github.com/yusanshi/LSEC-GNN

공식 코드

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

https://github.com/yushundong/AdaGNN

공식 코드

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

https://github.com/yusra-alkendi/ed-kogtl

공식 코드

Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers

https://github.com/yutxie/mars

공식 코드

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

https://github.com/yuweicao-uic/gsau

공식 코드

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems

https://github.com/yuweisunn/homogeneous-learning

공식 코드

Homogeneous Learning: Self-Attention Decentralized Deep Learning

https://github.com/yuwvandy/dpgnn

공식 코드

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

https://github.com/yuwvandy/fairvgnn

공식 코드

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

https://github.com/yuyudeep/hcmt

공식 코드

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

https://github.com/yuzhiyang123/fl-bnn

공식 코드

Communication-Efficient Federated Learning with Binary Neural Networks

https://github.com/yvsemlani/pcn-jet-tagging

공식 코드

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions

https://github.com/yw109iu/gnn_sparse_learning

공식 코드

Building explainable graph neural network by sparse learning for the drug-protein binding prediction

https://github.com/yxoh/link_steal_pets2024

공식 코드

Link Stealing Attacks Against Inductive Graph Neural Networks

https://github.com/yxzwang/phenomnn

공식 코드

From Hypergraph Energy Functions to Hypergraph Neural Networks

https://github.com/yyysjz1997/SGDP

공식 코드

SGDP: A Stream-Graph Neural Network Based Data Prefetcher

https://github.com/zama-ai/concrete-ml

공식 코드

Deep Neural Networks for Encrypted Inference with TFHE

https://github.com/zbf1991/A2GNN

공식 코드

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

https://github.com/zcaicaros/l2s

공식 코드

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

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