SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

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Showing 801–810 of 1192 papers

TitleStatusHype
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
Overlapping Spaces for Compact Graph RepresentationsCode0
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationCode1
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding—0
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Knowledge Graph Embedding Compression—0
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph CompletionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified