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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/toenshoff/runcsp-pytorch

공식 코드

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

https://github.com/toggled/FvFGeo

공식 코드

Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation

https://github.com/tommydzh/diam

공식 코드

Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

https://github.com/tongxu-05/regnn-multiple-appropriate-facial-reaction-generation

공식 코드

Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation

https://github.com/trachote/crystalgrw

공식 코드

CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks

https://github.com/trainsn/gnn-surrogate

공식 코드

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

https://github.com/tsinghua-fib-lab/grape

공식 코드

Automorphic Equivalence-aware Graph Neural Network

https://github.com/tsinghua-fib-lab/graph-denoising-socialrec

공식 코드

Robust Preference-Guided Denoising for Graph based Social Recommendation

https://github.com/tsinghua-fib-lab/kdd2023-id546-urbaninfra

공식 코드

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

https://github.com/tsinghua-fib-lab/road-planning-for-slums

공식 코드

Road Planning for Slums via Deep Reinforcement Learning

https://github.com/tsurubee/deepcrystet

공식 코드

DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

https://github.com/tsy935/eeg-gnn-ssl

공식 코드

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

https://github.com/tsy935/graphs4mer

공식 코드

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models

https://github.com/tsy935/readmit-stgnn

공식 코드

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission

https://github.com/tufts-ml/patchgt

공식 코드

PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations

https://github.com/tumftm/radargnn

공식 코드

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception

https://github.com/tummfm/chemtrain

공식 코드

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

https://github.com/tummfm/resolv

공식 코드

Predicting solvation free energies with an implicit solvent machine learning potential

https://github.com/turboLJY/CapsGNN-Review-Generation

공식 코드

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

https://github.com/tw-repository/asyrec

공식 코드

AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification

https://github.com/txie-93/polymernet

공식 코드

Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties

https://github.com/typilus/typilus

공식 코드

Typilus: Neural Type Hints

https://github.com/uber/MARVIN

공식 코드

Multi-Agent Routing Value Iteration Network

https://github.com/ucamrl/xrlflow

공식 코드

X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation

https://github.com/uclasystem/dorylus

공식 코드

Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads

https://github.com/ucsd-hep-ex/GraphAE

공식 코드

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance

https://github.com/ucuapps/openglue

공식 코드

OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching

https://github.com/ufal/mrpipe-conll2019

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ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task

https://github.com/uidmice/placement-rl

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GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

https://github.com/ujeong1/bluetempnet-ieee-data-2024

공식 코드

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social

https://github.com/ukaukaaaa/GazeGNN

공식 코드

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification

https://github.com/ulab-uiuc/gor

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Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

https://github.com/unites-lab/mew

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Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network

https://github.com/unstable-zeros/grnn-comms-codesign

공식 코드

Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control

https://github.com/uoe-agents/epymarl

공식 코드

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

https://github.com/uoe-agents/po-gpl

공식 코드

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning

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