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 1001–1050 of 1192 papers

TitleStatusHype
Embedding Graphs under Centrality Constraints for Network Visualization—0
Embedding Knowledge Graph in Function Spaces—0
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity—0
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks—0
Scientific Dataset Discovery via Topic-level Recommendation—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Representing Hierarchical Structure by Using Cone Embedding—0
DySuse: Susceptibility Estimation in Dynamic Social Networks—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion—0
dynnode2vec: Scalable Dynamic Network Embedding—0
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems—0
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
Expanding Semantic Knowledge for Zero-shot Graph Embedding—0
Self Supervised Clustering of Traffic Scenes using Graph Representations—0
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery—0
Explaining Knowledge Graph Embedding via Latent Rule Learning—0
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples—0
Dynamic Joint Variational Graph Autoencoders—0
Exploiting Network Structures to Improve Semantic Representation for the Financial Domain—0
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning—0
Dynamic Graph Embedding via LSTM History Tracking—0
Self-Supervised Graph Embedding Clustering—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Exponential Family Graph Embeddings—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
EXTRACT: Explainable Transparent Control of Bias in Embeddings—0
Extracting Attentive Social Temporal Excitation for Sequential Recommendation—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Semantically Smooth Knowledge Graph Embedding—0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings—0
Semantic tradeoff for heterogeneous graph embedding—0
Farspredict: A benchmark dataset for link prediction—0
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network—0
Fast and Scalable Multi-Kernel Encoder Classifier—0
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation—0
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding—0
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified