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 991–1000 of 1192 papers

TitleStatusHype
5* Knowledge Graph Embeddings with Projective Transformations—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
Ego-CNN: An Ego Network-based Representation of Graphs Detecting Critical Structures—0
Scalar Coupling Constant Prediction Using Graph Embedding Local Attention Encoder—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
Scaling Knowledge Graph Embedding Models—0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
A Relational Tucker Decomposition for Multi-Relational Link Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified