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 651–675 of 1192 papers

TitleStatusHype
Pointer Networks with Q-Learning for Combinatorial Optimization—0
Potential destination discovery for low predictability individuals based on knowledge graph—0
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems—0
PPPNE: Personalized proximity preserved network embedding—0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Predicting event attendance exploring social influence—0
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning—0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Predictive Query-based Pipeline for Graph Data—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens—0
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models—0
Probability Calibration for Knowledge Graph Embedding Models—0
Deep Adversarial Network Alignment—0
Product Knowledge Graph Embedding for E-commerce—0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space—0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer—0
Pykg2vec: A Python Library for Knowledge Graph Embedding—0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified