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 751–760 of 1192 papers

TitleStatusHype
Tight and fast generalization error bound of graph embedding in metric space—0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning—0
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies—0
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods—0
Milgram's experiment in the knowledge space: Individual navigation strategies—0
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution—0
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach—0
MixKG: Mixing for harder negative samples in knowledge graph—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified