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 726–750 of 1192 papers

TitleStatusHype
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings—0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Locally Adaptive Translation for Knowledge Graph Embedding—0
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval—0
Location Sensitive Embedding for Knowledge Graph Reasoning—0
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
Logic Rules Powered Knowledge Graph Embedding—0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—0
Community detection in networks using graph embeddings—0
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks—0
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation—0
Community Detection in General Hypergraph via Graph Embedding—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Manifold Graph Signal Restoration using Gradient Graph Laplacian Regularizer—0
Manifold learning via quantum dynamics—0
A Deep Graph Embedding Network Model for Face Recognition—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed—0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
Membership Inference Attacks on Knowledge Graphs—0
Memory and Capacity of Graph Embedding Methods—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Mercem: Method Name Recommendation Based on Call Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified