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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/lvguofeng/GNN_PPI

공식 코드

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

https://github.com/lxchtan/hetermpc

공식 코드

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations

https://github.com/lxd99/tpnet

공식 코드

Improving Temporal Link Prediction via Temporal Walk Matrix Projection

https://github.com/lydiawunan/lostin

공식 코드

LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models

https://github.com/lyeskhalil/mipgnn

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MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers

https://github.com/lyvykhang/edgehetero-nodeproppred

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Article Classification with Graph Neural Networks and Multigraphs

https://github.com/lyyf2002/asgea

공식 코드

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

https://github.com/lzhang18/pmp

공식 코드

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series

https://github.com/m-shayanshafi/Biscotti

공식 코드

Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

https://github.com/m2man/HADA-LAVIS

공식 코드

HADA: A Graph-based Amalgamation Framework in Image-text Retrieval

https://github.com/m3rg-iitd/rigid_body_dynamics_graph

공식 코드

Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

https://github.com/ma-compbio/Hyper-SAGNN

공식 코드

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs

https://github.com/maastrichtlawtech/gdsr

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Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks

https://github.com/maastrichtu-cds/vertibayes

공식 코드

VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values

https://github.com/machine-reasoning-ufrgs/spixel-gat

공식 코드

Superpixel Image Classification with Graph Attention Networks

https://github.com/machine-reasoning-ufrgs/typed-graph-network

공식 코드

Typed Graph Networks

https://github.com/maggiemh/bafdp

공식 코드

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning

https://github.com/magicleap/SuperGluePretrainedNetwork

공식 코드

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/magnetar-iiith/pril

공식 코드

How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

https://github.com/mahmoudkanazzal/PromSec

공식 코드

PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)

https://github.com/maithili/spatiotemporalobjecttracking

공식 코드

Proactive Robot Assistance via Spatio-Temporal Object Modeling

https://github.com/mala-lab/tpp

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Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

https://github.com/malayp717/pm2.5

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Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture

https://github.com/mammadmaheri7/TeleSparseRepo

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TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks

https://github.com/mandeep-rathee/bagel-benchmark

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BAGEL: A Benchmark for Assessing Graph Neural Network Explanations

https://github.com/manoskary/vocsep_ijcai2023

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Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

https://github.com/manuelvloureiro/topics-as-entity-clusters

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Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks

https://github.com/manumad/DBNLDA

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Deep Belief Network based representation learning for lncRNA-disease association prediction

https://github.com/maplightrx/maplight-tdc

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ADMET property prediction through combinations of molecular fingerprints

https://github.com/marco-hoffmann/grappa

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GRAPPA - A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures

https://github.com/marcorossi5/DUNEdn

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Deep Learning strategies for ProtoDUNE raw data denoising

https://github.com/margarita-aicyd/dp-hc

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On the Price of Differential Privacy for Hierarchical Clustering

https://github.com/marlin-codes/HTGN

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Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

https://github.com/martenlienen/finite-element-networks

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Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks

https://github.com/masoudmo/echoglad

공식 코드

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

https://github.com/matenure/GNN_planner

공식 코드

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling

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