Papers with Code 아카이브

Graph Neural Network

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/amberyzheng/bloomgml

공식 코드

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization

https://github.com/amrhssn/teneNCE

공식 코드

Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks

https://github.com/amrmalkhatib/ignh

공식 코드

Interpretable Graph Neural Networks for Heterogeneous Tabular Data

https://github.com/amrmalkhatib/ignnet

공식 코드

Interpretable Graph Neural Networks for Tabular Data

https://github.com/anders-wikum/GNN-OBM

공식 코드

MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation

https://github.com/anders1123/PAGE

공식 코드

PAGE: Parametric Generative Explainer for Graph Neural Network

https://github.com/andreeaiana/graph_confrec

공식 코드

GraphConfRec: A Graph Neural Network-Based Conference Recommender System

https://github.com/anonymoustool/NeurSA

공식 코드

Learning a Static Bug Finder from Data

https://github.com/anoushkavyas/dglr

공식 코드

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture

https://github.com/anton-jeran/L2S

공식 코드

Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes

https://github.com/anyleopeace/DURLECA

공식 코드

Reinforced Epidemic Control: Saving Both Lives and Economy

https://github.com/arashsajjadi/TGraphX

공식 코드

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning

https://github.com/aravi11/funcGNN

공식 코드

funcGNN: A Graph Neural Network Approach to Program Similarity

https://github.com/aravindsankar28/Inf-VAE

공식 코드

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

https://github.com/arclab-hku/supereio

공식 코드

SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry

https://github.com/ardhendubehera/sr-gnn

공식 코드

SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

https://github.com/arjunsubramonian/link_bias_amplification

공식 코드

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction

https://github.com/arkadiyd/phylognn

공식 코드

Solving the Tree Containment Problem Using Graph Neural Networks

https://github.com/armanbehnam/cxgnn

공식 코드

Graph Neural Network Causal Explanation via Neural Causal Models

https://github.com/arthur-heng/spoiler-detection

공식 코드

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks

https://github.com/aryan-at-ul/aics_2023_submission

공식 코드

Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images

https://github.com/atomicarchitects/equiformer

공식 코드

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

https://github.com/auroua/SSNENAS

공식 코드

Self-supervised Representation Learning for Evolutionary Neural Architecture Search

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

공식 코드

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

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

공식 코드

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

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

공식 코드

Knowledge Graph Reasoning with Relational Digraph

https://github.com/automl/SVGe

공식 코드

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

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

공식 코드

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

공식 코드

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

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

공식 코드

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

https://github.com/babisograph/graph_pooling_networks

공식 코드

Partition Pooling for Convolutional Graph Network Applications in Particle Physics

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

공식 코드

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

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

공식 코드

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

https://github.com/baratilab/gamd

공식 코드

Graph Neural Networks Accelerated Molecular Dynamics

https://github.com/baratilab/meshdqn

공식 코드

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

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

공식 코드

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

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.