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 641–650 of 1192 papers

TitleStatusHype
An Adversarial Transfer Network for Knowledge Representation LearningCode0
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph—0
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction—0
SpikE: spike-based embeddings for multi-relational graph dataCode1
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
Efficient Relation-aware Scoring Function Search for Knowledge Graph EmbeddingCode1
Efficient Non-Sampling Knowledge Graph EmbeddingCode1
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions—0
Membership Inference Attacks on Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified