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 201–210 of 1192 papers

TitleStatusHype
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
Efficient Hyper-parameter Search for Knowledge Graph EmbeddingCode1
Pyramidal Reservoir Graph Neural NetworkCode1
Quaternion Graph Neural NetworksCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph EmbeddingsCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Continual Learning of Knowledge Graph EmbeddingsCode1
Representing Long-Range Context for Graph Neural Networks with Global AttentionCode1
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified