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 1081–1090 of 1192 papers

TitleStatusHype
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks—0
A Simple Baseline Algorithm for Graph ClassificationCode0
Binarized Attributed Network EmbeddingCode0
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods—0
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability—0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions—0
Graph U-Net—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified