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 501–550 of 1192 papers

TitleStatusHype
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational AssumptionsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation RepresentationCode0
Improving Knowledge Graph Embedding Using Simple ConstraintsCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply InteractionsCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph EmbeddingCode0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Identifying Conspiracy Theories News based on Event Relation GraphCode0
Hyperparameter-free and Explainable Whole Graph EmbeddingCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning CandidatesCode0
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive LearningCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Grassmann Graph Embedding—0
Degree-Based Random Walk Approach for Graph Embedding—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows—0
Graph U-Net—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification—0
Authorship Recognition with Short-Text using Graph-based Techniques—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Graph Relation Aware Continual Learning—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Graph Neural Networks For Multi-Image Matching—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
DEEP GEOMETRICAL GRAPH CLASSIFICATION—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified