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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/muhanzhang/IGMC

공식 코드

Inductive Matrix Completion Based on Graph Neural Networks

https://github.com/muhanzhang/SEAL

공식 코드

Link Prediction Based on Graph Neural Networks

https://github.com/muhanzhang/nestedgnn

공식 코드

Nested Graph Neural Networks

https://github.com/muyeby/RGAT-ABSA

공식 코드

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network

https://github.com/muz1lee/motdata

공식 코드

Data Valuation and Detections in Federated Learning

https://github.com/mwcvitkovic/Deep_Learning_On_Code_With_A_Graph_Vocabulary--Code_Preprocessor

공식 코드

Open Vocabulary Learning on Source Code with a Graph-Structured Cache

https://github.com/mydigitwinnl/fedavg_vantage6

공식 코드

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration

https://github.com/myfatemi04/rl-deceptive-graph-planning

공식 코드

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks

https://github.com/n-gao/pesnet

공식 코드

Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions

https://github.com/nabavilab/multimodal-gnn-for-cancer-subtype-clasification

공식 코드

A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification

https://github.com/nadgeri14/KGPool

공식 코드

KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

https://github.com/naiftt/fedsis

공식 코드

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection

https://github.com/nargesnemati/mccl

공식 코드

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation

https://github.com/navid-naderi/LinkSchedulingGNNs_SupervisionStudy

공식 코드

Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels

https://github.com/navid-naderi/Resilient_RRM_GNN

공식 코드

Learning Resilient Radio Resource Management Policies with Graph Neural Networks

https://github.com/navid-naderi/stateaugmented_rrm_gnn

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State-Augmented Learnable Algorithms for Resource Management in Wireless Networks

https://github.com/ncfrey/litmatter

공식 코드

Scalable Geometric Deep Learning on Molecular Graphs

https://github.com/nds-vu/awesome-gnn-privacy

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A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

https://github.com/ndsi6382/trajectory_recovery

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Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement

https://github.com/necst/timberstrike

공식 코드

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems

https://github.com/neelr/clamp

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CLAMP: A Contrastive Language And Molecule Pre-training Network

https://github.com/negedng/ma-fl-mia

공식 코드

Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning

https://github.com/nellaker-group/placenta

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A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs

https://github.com/neuir/co-gat

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Multi-Evidence based Fact Verification via A Confidential Graph Neural Network

https://github.com/ngminhtri0394/GEFA

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GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

https://github.com/nikita6187/transportplanningdataset

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Graph neural network surrogate for strategic transport planning

https://github.com/niko-k98/awesome-list-federated-learning-review

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Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

https://github.com/nikolaimerkel/reordering

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Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study

https://github.com/ninggirsu/run-gnn

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Towards Enhancing Relational Rules for Knowledge Graph Link Prediction

https://github.com/nishio-laboratory/lambda_split

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$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI

https://github.com/niuzehao/gnn-gp

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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning

https://github.com/nju-websoft/HyperKA

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Knowledge Association with Hyperbolic Knowledge Graph Embeddings

https://github.com/nju-websoft/tkgc

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Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

https://github.com/njuhtc/LEDG

공식 코드

Learning to Evolve on Dynamic Graphs

https://github.com/nkkchem/pf-gnn_pli

공식 코드

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

https://github.com/nklskrmnn/hiegnet

공식 코드

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification

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