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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 851–900 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
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding—0
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization—0
Weight Prediction for Variants of Weighted Directed Networks—0
What the Vec? Towards Probabilistically Grounded Embeddings—0
When Radiology Report Generation Meets Knowledge Graph—0
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network—0
Whom to Learn From? Graph- vs. Text-based Word Embeddings—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
A Relational Tucker Decomposition for Multi-Relational Link Prediction—0
Dynamic Graph Embedding via LSTM History Tracking—0
Dynamic Joint Variational Graph Autoencoders—0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Force-directed graph embedding with hops distanceCode0
3D Rotation and Translation for Hyperbolic Knowledge Graph EmbeddingCode0
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
Accurate, Efficient and Scalable Graph EmbeddingCode0
Active Learning for Graph EmbeddingCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified