Papers with Code 아카이브

Graph Embedding

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 5
평가표: 1
보존된 평가 기록: 1

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

<span style="color:grey; opacity: 0.6">( Image credit: GAT )</span>

코드

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

https://github.com/fongyk/graph-attention

Graph Attention Networks

https://github.com/ftheberge/Comparing_Graph_Embeddings

An Unsupervised Framework for Comparing Graph Embeddings

https://github.com/galkampel/HyperNetworks

Graph Attention Networks

https://github.com/gayanku/FDGATII

Graph Attention Networks

https://github.com/gcucurull/jax-gat

Graph Attention Networks

https://github.com/gengchenmai/se-kge

SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

https://github.com/geods/region2vec-gat

Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions

https://github.com/giuseppefutia/link-prediction-code

Graph Attention Networks

https://github.com/giuseppefutia/semi

Modeling Relational Data with Graph Convolutional Networks

https://github.com/glorotxa/SME

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases

https://github.com/gmum/umwpl2021

Graph Attention Networks

https://github.com/gordicaleksa/pytorch-GAT

Graph Attention Networks

https://github.com/graphcore-research/bess-kge

BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion

https://github.com/guillaumejaume/tuto-dl-on-graphs

Modeling Relational Data with Graph Convolutional Networks

https://github.com/guixiangyu1/KGE-HAKE-master

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/handasontam/GAT-with-edgewise-attention

Graph Attention Networks

https://github.com/hkiyomaru/pu-learning

Learning from positive and unlabeled data: a survey

https://github.com/hkuds/recdiff

Collaborative Translational Metric Learning

https://github.com/hsientzucheng/MKR.PyTorch

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

https://github.com/hughxiouge/CompoundE3D

Knowledge Graph Embedding with 3D Compound Geometric Transformations

https://github.com/hujilin1229/gUNet

https://github.com/hwwang55/KGCN

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

https://github.com/hyeamykim/GCN-related-works

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/iesl/geometric_graph_embedding

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

https://github.com/ilBarbara/BioRL

Learning Combinatorial Optimization Algorithms over Graphs

https://github.com/ink-usc/request

LINE: Large-scale Information Network Embedding

https://github.com/isotlaboratory/ml4vrp

Graph Attention Networks

https://github.com/jaemuzzin/plagnn

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/jiean001/models_m/tree/main/hake

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/jiean001/models_m/tree/main/rotate

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

https://github.com/johannesmessner/boxte

Temporal Knowledge Graph Completion using Box Embeddings

https://github.com/johnny12150/DySAT_python3

Dynamic Graph Representation Learning via Self-Attention Networks

https://github.com/karthik63/attention

Watch Your Step: Learning Node Embeddings via Graph Attention

https://github.com/katerynaCh/fastSDA

Speed-up and multi-view extensions to Subclass Discriminant Analysis

https://github.com/kingcong/models/tree/main/hake

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/kingsaint/InductiveExplainableLinkPrediction

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

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