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 901–950 of 1192 papers

TitleStatusHype
A unified framework based on graph consensus term for multi-view learning—0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed—0
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding—0
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation—0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction—0
Random Manifold Sampling and Joint Sparse Regularization for Multi-label Feature Selection—0
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors—0
Triplet-Aware Scene Graph Embeddings—0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding—0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding—0
ReadE: Learning Relation-Dependent Entity Representation for Knowledge Graph Completion—0
Attention Regularized Laplace Graph for Domain Adaptation—0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations—0
Recent Advances in Malware Detection: Graph Learning and Explainability—0
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
RECS: Robust Graph Embedding Using Connection Subgraphs—0
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