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 901–925 of 1192 papers

TitleStatusHype
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
Temporal Knowledge Graph Embedding Model based on Additive Time Series DecompositionCode1
Interstellar: Searching Recurrent Architecture for Knowledge Graph EmbeddingCode1
Inductive Relation Prediction by Subgraph ReasoningCode1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
Decompressing Knowledge Graph Representations for Link PredictionCode0
Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsCode0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
Composition-based Multi-Relational Graph Convolutional NetworksCode1
CoKE: Contextualized Knowledge Graph EmbeddingCode0
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?Code0
Dynamic Graph Embedding via LSTM History Tracking—0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Cascading: Association Augmented Sequential Recommendation—0
Efficiently Embedding Dynamic Knowledge Graphs—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Dynamic Joint Variational Graph Autoencoders—0
Graph Analysis and Graph Pooling in the Spatial Domain—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified