Papers hyperedge classification
“hyperedge classification” 태그가 달린 논문 6편 · 필터 해제
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions
Graphs and hypergraphs provide powerful abstractions for modeling interactions among a set of entities of interest and have been attracting a growing interest in the literature thanks to many successful applications in s…
Drug DiscoveryGraph Neural Networkhyperedge classificationInterpretable Subgraph Feature Extraction for Hyperlink Prediction
Hyperlink prediction aims to predict interactions among multiple entries, constituting a practical yet challenging problem in the literature. While a handful of solutions have been proposed, they generally operate on the…
hyperedge classificationHyperedge PredictionPredictionRoad Network Representation Learning: A Dual Graph based Approach
Road network is a critical infrastructure powering many applications including transportation, mobility and logistics in real life. To leverage the input of a road network across these different applications, it is neces…
Graph Neural NetworkGraph Reconstructionhyperedge classificationRepresentation LearningHypergraph Pre-training with Graph Neural Networks
Despite the prevalence of hypergraphs in a variety of high-impact applications, there are relatively few works on hypergraph representation learning, most of which primarily focus on hyperlink prediction, often restricte…
hyperedge classificationRepresentation LearningTransductive LearningLearning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks
Graph representation learning has made major strides over the past decade. However, in many relational domains, the input data are not suited for simple graph representations as the relationships between entities go beyo…
Graph Representation Learninghyperedge classificationRepresentation LearningDeep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
From social networks to protein complexes to disease genomes to visual data, hypergraphs are everywhere. However, the scope of research studying deep learning on hypergraphs is still quite sparse and nascent, as there ha…
hyperedge classificationhypergraph embeddingInductive LearningNode Classification