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Graph Neural Network

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

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

공식 코드

Typed Graph Networks

https://github.com/magicleap/SuperGluePretrainedNetwork

공식 코드

SuperGlue: Learning Feature Matching with Graph Neural Networks

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

공식 코드

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

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

공식 코드

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

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

공식 코드

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations

https://github.com/manoskary/vocsep_ijcai2023

공식 코드

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

공식 코드

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

공식 코드

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

https://github.com/marcorossi5/DUNEdn

공식 코드

Deep Learning strategies for ProtoDUNE raw data denoising

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

공식 코드

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

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

공식 코드

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

https://github.com/matteosalvatori/ince

공식 코드

Graph Neural Network contextual embedding for Deep Learning on Tabular Data

https://github.com/maxxxzdn/EEGCN

공식 코드

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer

https://github.com/mbahri/binary_gnn

공식 코드

Binary Graph Neural Networks

https://github.com/mbonto/xai_in_genomics

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A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches

https://github.com/mcneela/mixed-curvature-gcn

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Product Manifold Representations for Learning on Biological Pathways

https://github.com/mcneela/mixed-curvature-pathways

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Product Manifold Representations for Learning on Biological Pathways

https://github.com/measty/mesograph

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MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images

https://github.com/meettyj/gnp

공식 코드

Graph Neural Prompting with Large Language Models

https://github.com/meettyj/recipe2vec

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Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks

https://github.com/meiwu5/mhgnet

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MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction

https://github.com/mengcz13/KDD2021_CNFGNN

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Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

https://github.com/mengxang/quasi-framelet

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Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution

https://github.com/meteor0033/high-pass_gad

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High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach

https://github.com/mewispool/mewispool

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Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks

https://github.com/michiyasunaga/DrRepair

공식 코드

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback

https://github.com/mickeystroller/TaxoExpan

공식 코드

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

https://github.com/microndla/rl_streaming_engine

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Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array

https://github.com/microsoft/TextGNN

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TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search

https://github.com/microsoft/YOLaT-VectorGraphicsRecognition

공식 코드

Recognizing Vector Graphics without Rasterization

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