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 601–625 of 1192 papers

TitleStatusHype
Exploiting Network Structures to Improve Semantic Representation for the Financial Domain—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
Bilinear Scoring Function Search for Knowledge Graph LearningCode1
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
Convolutional Hypercomplex Embeddings for Link PredictionCode0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
Exploring the Representational Power of Graph AutoencoderCode0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching—0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Relation order histograms as a network embedding toolCode0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
Scientific Dataset Discovery via Topic-level Recommendation—0
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey—0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks—0
Network embedding unveils the hidden interactions in the mammalian virome—0
High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified