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 61–70 of 1192 papers

TitleStatusHype
Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial InteractionsCode1
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link PredictionCode1
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation LearningCode1
Localized Sparse Incomplete Multi-view ClusteringCode1
Neuro-symbolic computing with spiking neural networksCode1
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
SCARA: Scalable Graph Neural Networks with Feature-Oriented OptimizationCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Graph Neural Networks for Distributed Power Allocation in Wireless Networks: Aggregation Over-the-AirCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified