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
Multi-view Knowledge Graph Embedding for Entity AlignmentCode0
Pykg2vec: A Python Library for Knowledge Graph Embedding—0
Collaborative Translational Metric LearningCode1
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Consensus Clustering: An Embedding Perspective, Extension and Beyond—0
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Compositional Fairness Constraints for Graph EmbeddingsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified