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Graph Embedding

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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/Giruvegan/stoneskipping

공식 코드

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

https://github.com/GraphSAINT/GraphSAINT

공식 코드

GraphSAINT: Graph Sampling Based Inductive Learning Method

https://github.com/GraphSAINT/GraphSAINT/tree/master/ipdps19_cpp

공식 코드

Accurate, Efficient and Scalable Graph Embedding

https://github.com/GustikS/NeuraLifting

공식 코드

Lossless Compression of Structured Convolutional Models via Lifting

https://github.com/GustikS/NeuraLogic

공식 코드

Lossless Compression of Structured Convolutional Models via Lifting

https://github.com/HELL-TO-HEAVEN/KGE-CL

공식 코드

KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings

https://github.com/HKUST-KnowComp/FKGE

공식 코드

Differentially Private Federated Knowledge Graphs Embedding

https://github.com/HW-HaoWang/DHC-E

공식 코드

Hyperparameter-free and Explainable Whole Graph Embedding

https://github.com/Hanjun-Dai/graph_comb_opt

공식 코드

Learning Combinatorial Optimization Algorithms over Graphs

https://github.com/HassounLab/ELP

공식 코드

Learning graph representations of biochemical networks and its application to enzymatic link prediction

https://github.com/HipGraph/Force2Vec

공식 코드

Force2Vec: Parallel force-directed graph embedding

https://github.com/HipGraph/FusedMM

공식 코드

FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks

https://github.com/HongyangGao/gunet

공식 코드

Graph U-Nets

https://github.com/JD-AI-Research-Silicon-Valley/SACN

공식 코드

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

https://github.com/JiarenX/AGAIN

공식 코드

Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs

https://github.com/JinheonBaek/GMT

공식 코드

Accurate Learning of Graph Representations with Graph Multiset Pooling

https://github.com/KRR-Oxford/DeepOnto

공식 코드

Contextual Semantic Embeddings for Ontology Subsumption Prediction

https://github.com/KokiKishimoto/cp_decomposition

공식 코드

Binarized Knowledge Graph Embeddings

https://github.com/KokiKishimoto/cp_decomposition_alpha

공식 코드

Binarized Knowledge Graph Embeddings

https://github.com/KrainskiL/CGE.jl

공식 코드

An Unsupervised Framework for Comparing Graph Embeddings

https://github.com/LCS2-IIITD/ENDEMIC

공식 코드

Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets

https://github.com/LFD-byte/scCLG

공식 코드

Single-cell Curriculum Learning-based Deep Graph Embedding Clustering

https://github.com/LemonNoel/ATransN

공식 코드

An Adversarial Transfer Network for Knowledge Representation Learning

https://github.com/LinXueyuanStdio/EchoEA

공식 코드

EchoEA: Echo Information between Entities and Relations for Entity Alignment

https://github.com/LingxiaoShawn/GLOD-Issues

공식 코드

On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights

https://github.com/LivNLP/Relational-Walk-for-Knowledge-Graphs

공식 코드

RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding

https://github.com/Louis-udm/VGCN-BERT

공식 코드

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

https://github.com/MH-0/RPGAE

공식 코드

Exploring the Representational Power of Graph Autoencoder

https://github.com/MIRALab-USTC/KGE-HAKE

공식 코드

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/MatheusMRFM/NCA-GE

공식 코드

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

https://github.com/MatheusMRFM/STIM

공식 코드

Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning

https://github.com/Maysir/GEM-GCN

공식 코드

Knowledge Embedding Based Graph Convolutional Network

https://github.com/Monash-NeuroAI/Deep-Spatiotemporal-Variational-Bayes

공식 코드

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification

https://github.com/Mrlyk423/Relation_Extraction

공식 코드

Modeling Relation Paths for Representation Learning of Knowledge Bases

https://github.com/NIVA-Knowledge-Graph/TERA

공식 코드

Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings

https://github.com/PASSIONLab/distributed_sddmm

공식 코드

Distributed-Memory Sparse Kernels for Machine Learning

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