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Graph Embedding

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 901–910 of 1192 papers

Title	Date	Tasks	Status	Hype
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning	Nov 19, 2019	DecoderDeep Reinforcement Learning	CodeCode Available	0
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition	Nov 18, 2019	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding	Nov 17, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
Inductive Relation Prediction by Subgraph Reasoning	Nov 16, 2019	Graph EmbeddingGraph Neural Network	CodeCode Available	1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning	Nov 12, 2019	Combinatorial OptimizationGraph Embedding	CodeCode Available	1
Decompressing Knowledge Graph Representations for Link Prediction	Nov 11, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets	Nov 11, 2019	Graph EmbeddingTime Series	CodeCode Available	0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding	Nov 9, 2019	Graph EmbeddingKnowledge Graph Embedding	—Unverified	0
Neural Graph Embedding Methods for Natural Language Processing	Nov 8, 2019	Graph EmbeddingKnowledge Graphs	CodeCode Available	0
Composition-based Multi-Relational Graph Convolutional Networks	Nov 8, 2019	General ClassificationGraph Classification	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeepGG	Entropy Difference	0	—	Unverified