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 351–360 of 1192 papers

TitleStatusHype
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex SpaceCode0
Hyperbolic Heterogeneous Graph Attention Networks—0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Milgram's experiment in the knowledge space: Individual navigation strategies—0
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery—0
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion—0
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified