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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/slslslrhfem/song_structure_graph

공식 코드

Combinatorial music generation model with song structure graph analysis

https://github.com/smahdavi4/clrs

공식 코드

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks

https://github.com/smrhadou/fed-surf

공식 코드

Stochastic Unrolled Federated Learning

https://github.com/snap-stanford/lamp

공식 코드

Learning Controllable Adaptive Simulation for Multi-resolution Physics

https://github.com/snap-stanford/relbench

공식 코드

RelBench: A Benchmark for Deep Learning on Relational Databases

https://github.com/snap-stanford/relbench-user-study

공식 코드

RelBench: A Benchmark for Deep Learning on Relational Databases

https://github.com/snap-stanford/relgt

공식 코드

Relational Graph Transformer

https://github.com/snu-arc/ginex

공식 코드

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching

https://github.com/socialrecsys/smin

공식 코드

Social Recommendation with Self-Supervised Metagraph Informax Network

https://github.com/sofiperez91/lase

공식 코드

LASE: Learned Adjacency Spectral Embeddings

https://github.com/songwenas12/csp-drl

공식 코드

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

https://github.com/songxf1024/gims

공식 코드

GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network

https://github.com/sorarain/routeplacer

공식 코드

RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network

https://github.com/sorarain/transplace

공식 코드

TransPlace: Transferable Circuit Global Placement via Graph Neural Network

https://github.com/sourajitdas/state-augmeted-information-routing

공식 코드

Learning State-Augmented Policies for Information Routing in Communication Networks

https://github.com/spatank/curiosity-graphs

공식 코드

Intrinsically motivated graph exploration using network theories of human curiosity

https://github.com/springwiz11/fed-gnodeformer

공식 코드

Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs

https://github.com/squareroot3/rethinking-anomaly-detection

공식 코드

Rethinking Graph Neural Networks for Anomaly Detection

https://github.com/srastegari/mbgnn

공식 코드

Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks

https://github.com/sserranw/abg-nas

공식 코드

ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning

https://github.com/sshleifer/Graph-WaveNet

공식 코드

Incrementally Improving Graph WaveNet Performance on Traffic Prediction

https://github.com/stanfordcbcl/grom

공식 코드

Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks

https://github.com/stars-cs/black_box_traffic

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Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models

https://github.com/starxingwang/ahstgnn

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Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction

https://github.com/stathismegas/celcomen

공식 코드

Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling

https://github.com/stavrosorf/dt4evs

공식 코드

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments

https://github.com/stefanbloemheuvel/gcntimeseriesregression

공식 코드

Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data

https://github.com/stefanosantaris/vstreamdrls

공식 코드

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions

https://github.com/stellargraph/FisherGCN

공식 코드

Fisher-Bures Adversary Graph Convolutional Networks

https://github.com/steve30572/dpao

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Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

https://github.com/stevezhuo/fis-one

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FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals

https://github.com/strawhatboy/iagnn

공식 코드

Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation

https://github.com/striderdu/spa

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Search to Pass Messages for Temporal Knowledge Graph Completion

https://github.com/sttdanonymous/sttd

공식 코드

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction

https://github.com/stxyfu/stress_gnn

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An FEA surrogate model with Boundary Oriented Graph Embedding approach

https://github.com/sukwonyun/s-mixup

공식 코드

S-Mixup: Structural Mixup for Graph Neural Networks

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