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 521–530 of 1192 papers

TitleStatusHype
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model—0
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python—0
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network—0
Building Graph Representations of Deep Vector Embeddings—0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery—0
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy—0
DySuse: Susceptibility Estimation in Dynamic Social Networks—0
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs—0
dynnode2vec: Scalable Dynamic Network Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified