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 141–150 of 1192 papers

TitleStatusHype
Hyperbolic Heterogeneous Graph Attention Networks—0
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Milgram's experiment in the knowledge space: Individual navigation strategies—0
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery—0
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph EmbeddingCode1
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion—0
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs—0
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network—0
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified