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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/drownfish19/corrstn

공식 코드

A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting

https://github.com/ds3lab/dyhgn

공식 코드

Modelling graph dynamics in fraud detection with "Attention"

https://github.com/ds4dm/learn2comparenodes

공식 코드

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks

https://github.com/ds4sd/molgrapher

공식 코드

MolGrapher: Graph-based Visual Recognition of Chemical Structures

https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023

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Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

https://github.com/dshi3553usyd/curvature_enhanced_graph_convolution

공식 코드

How Curvature Enhance the Adaptation Power of Framelet GCNs

https://github.com/dslaborg/sumov2

공식 코드

From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis

https://github.com/dumingsen/calonet

공식 코드

Causal and Local Correlations Based Network for Multivariate Time Series Classification

https://github.com/dyu62/deep-domain-generalization

공식 코드

Deep Spatial Domain Generalization

https://github.com/dyu62/multisource-spatial-point-prediction

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Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction

https://github.com/dzambon/NGAR

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Autoregressive Models for Sequences of Graphs

https://github.com/dzambon/graph-random-neural-features

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Graph Random Neural Features for Distance-Preserving Graph Representations

https://github.com/dzungvpham/llm-name-detection

공식 코드

Can Large Language Models Really Recognize Your Name?

https://github.com/dzungvpham/raifle

공식 코드

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation

https://github.com/eBay/xFraud

공식 코드

xFraud: Explainable Fraud Transaction Detection

https://github.com/earth-intelligence-lab/localizedweathergnn

공식 코드

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

https://github.com/ebiquity/policy_enforced_data_generation

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Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis

https://github.com/ebonilla/VGCN

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Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

https://github.com/ecml-peagnn/PEAGNN

공식 코드

Metapath- and Entity-aware Graph Neural Network for Recommendation

https://github.com/ecnu-text-computing/dppdcc

공식 코드

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement

https://github.com/ecnu-text-computing/h2cgl

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H2CGL: Modeling Dynamics of Citation Network for Impact Prediction

https://github.com/edgarsmdn/gh-gnn

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Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution

https://github.com/edgeslab/IDE-Net

공식 코드

Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence

https://github.com/edisonleeeee/sat

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Spectral Adversarial Training for Robust Graph Neural Network

https://github.com/edufoursans/reading-in-the-dark

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Partially Encrypted Machine Learning using Functional Encryption

https://github.com/edvinli/ppdl

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Efficient Node Selection in Private Personalized Decentralized Learning

https://github.com/ee1s/nirgnn

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Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

https://github.com/eecrazy/ConstructingNEEG_IJCAI_2018

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Constructing Narrative Event Evolutionary Graph for Script Event Prediction

https://github.com/ehtesam3154/biomarl

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Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning

https://github.com/eidoslab/wignet

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WiGNet: Windowed Vision Graph Neural Network

https://github.com/ejwww/tangnn

공식 코드

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning

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

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

https://github.com/elucidator8918/Fed-ML-Chem

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Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources

https://github.com/elucidator8918/QFL-MLNCP-NeurIPS

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Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML

https://github.com/emalgorithm/directed-graph-neural-network

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Edge Directionality Improves Learning on Heterophilic Graphs

https://github.com/emiliocantuc/personalized-fl-via-stacking

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Personalized Federated Learning via Stacking

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