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 926–950 of 1192 papers

TitleStatusHype
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining—0
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion—0
Twitter Geolocation using Knowledge-Based Methods—0
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Region Graph Embedding Network for Zero-Shot Learning—0
Asymmetric Transitivity Preserving Graph Embedding—0
A Survey on Visual Transfer Learning using Knowledge Graphs—0
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval—0
Relational representation learning with spike trains—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
A Survey on Signed Graph Embedding: Methods and Applications—0
Relation Embedding for Personalised POI Recommendation—0
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation—0
Relevance Score of Triplets Using Knowledge Graph Embedding - The Pigweed Triple Scorer at WSDM Cup 2017—0
RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding—0
Two Stream Scene Understanding on Graph Embedding—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Unbiased Graph Embedding with Biased Graph Observations—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified