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 851–875 of 1192 papers

TitleStatusHype
Unbiased Graph Embedding with Biased Graph Observations—0
Understanding graph embedding methods and their applications—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
Unsupervised Adversarial Graph Alignment with Graph Embedding—0
Unsupervised Multi-modal Hashing for Cross-modal retrieval—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models—0
Unsupervised Universal Self-Attention Network for Graph Classification—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Using Graph Algorithms to Pretrain Graph Completion Transformers—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image—0
Domain Representation for Knowledge Graph Embedding—0
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
Vertex Nomination, Consistent Estimation, and Adversarial Modification—0
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods—0
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks—0
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning—0
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows—0
Walk this Way! Entity Walks and Property Walks for RDF2vec—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified