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 791–800 of 1192 papers

TitleStatusHype
Dynamic Graph Representation Learning with Fourier Temporal State EmbeddingCode0
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval—0
Hop-Hop Relation-aware Graph Neural Networks—0
Understanding graph embedding methods and their applications—0
Unify Local and Global Information for Top-N RecommendationCode0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation—0
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified