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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/atomicarchitects/equiformer

공식 코드

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

https://github.com/atp-1010/federatedllm

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FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

https://github.com/auroua/SSNENAS

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Self-supervised Representation Learning for Evolutionary Neural Architecture Search

https://github.com/automl-4paradigm/tabgnn

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TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

https://github.com/automl-research/pas-ogb

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Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search

https://github.com/automl-research/red-gnn

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Knowledge Graph Reasoning with Relational Digraph

https://github.com/automl/SVGe

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Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

https://github.com/awslabs/dgl-lifesci

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Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

https://github.com/awslabs/dgl-lifesci/blob/master/python/dgllife/model/model_zoo/mgcn_predictor.py

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Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

https://github.com/awslabs/fast-differential-privacy

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Differentially Private Bias-Term Fine-tuning of Foundation Models

https://github.com/awslabs/fast-differential-privacy/tree/main/fastDP

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Differentially Private Bias-Term Fine-tuning of Foundation Models

https://github.com/ayyoobimani/glp-pos

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Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging

https://github.com/babisograph/graph_pooling_networks

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Partition Pooling for Convolutional Graph Network Applications in Particle Physics

https://github.com/baimamboukar/hazardous-asteroid-classification

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Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks

https://github.com/baldassarreFe/ws-vrd

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Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks

https://github.com/baratilab/gamd

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Graph Neural Networks Accelerated Molecular Dynamics

https://github.com/baratilab/meshdqn

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MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics

https://github.com/barbara20901/cluster-link-prediction

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A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems

https://github.com/bardia-az/ppa-code

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Privacy-Preserving Autoencoder for Collaborative Object Detection

https://github.com/bargavj/EvaluatingDPML

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Evaluating Differentially Private Machine Learning in Practice

https://github.com/bargenossar/flexer

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FlexER: Flexible Entity Resolution for Multiple Intents

https://github.com/basemsuleiman/personalized_intelligent_fitness_recommender

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Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach

https://github.com/basiralab/AGSR-Net

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Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity

https://github.com/basiralab/GNNs-in-Network-Neuroscience

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Graph Neural Networks in Network Neuroscience

https://github.com/basiralab/MGN-Net

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MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations

https://github.com/basiralab/RBGM

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Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory

https://github.com/basiralab/deltagnn

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DeltaGNN: Graph Neural Network with Information Flow Control

https://github.com/basiralab/duognn

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DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling

https://github.com/basiralab/falcon

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FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs

https://github.com/basiralab/meta-reggnn

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Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning

https://github.com/basiralab/multigraphgnet

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Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification

https://github.com/basiralab/topoGAN

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Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network

https://github.com/bayer-science-for-a-better-life/graph-attribution

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Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity

https://github.com/bbacic/tnwahi-appakrcs

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Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case study

https://github.com/bcv-uniandes/sepal

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SEPAL: Spatial Gene Expression Prediction from Local Graphs

https://github.com/bdi-lab/reed

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PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning

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