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 191–200 of 1192 papers

TitleStatusHype
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
Efficient Relation-aware Scoring Function Search for Knowledge Graph EmbeddingCode1
Efficient, Simple and Automated Negative Sampling for Knowledge Graph EmbeddingCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
Probabilistic Box Embeddings for Uncertain Knowledge Graph ReasoningCode1
Graph-based prediction of Protein-protein interactions with attributed signed graph embeddingCode1
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence ViewCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified