SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 976–1000 of 1192 papers

TitleStatusHype
Diversity matters: Robustness of bias measurements in WikidataCode0
Do Similar Entities have Similar Embeddings?Code0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
Dynamic Graph Representation Learning via Self-Attention NetworksCode0
Dynamic Graph Representation Learning with Fourier Temporal State EmbeddingCode0
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal GraphsCode0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
Efficiently Visualizing Large GraphsCode0
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Embedding Graphs on Grassmann ManifoldCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings AugmentationCode0
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation LearningCode0
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph EmbeddingCode0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified