SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Showing 926950 of 1192 papers

TitleStatusHype
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph EmbeddingCode0
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention MechanismCode0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings0
Universal Graph Transformer Self-Attention NetworksCode0
A Group-Theoretic Framework for Knowledge Graph Embedding0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds0
Graph Neural Networks For Multi-Image Matching0
Iterative Deep Graph Learning for Graph Neural Networks0
Global graph curvature0
Unsupervised Universal Self-Attention Network for Graph Classification0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN0
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
Triplet-Aware Scene Graph Embeddings0
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Group Representation Theory for Knowledge Graph Embedding0
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network0
Composing Knowledge Graph Embeddings via Word Embeddings0
Structured Query Construction via Knowledge Graph Embedding0
Graph Representation Ensemble LearningCode0
Parallel Computation of Graph Embeddings0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs0
Graph Representation Learning: A SurveyCode0
Embedding Symbolic Knowledge into Deep NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified