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Hyperedge Prediction

Hyperlink/hyperedge prediction, targets to find missing hyperedges in a hypergraph.

Papers

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Showing 1–20 of 20 papers

TitleStatusHype
Inference of hyperedges and overlapping communities in hypergraphsCode1
AHP: Learning to Negative Sample for Hyperedge PredictionCode1
Transformers Generalize DeepSets and Can be Extended to Graphs and HypergraphsCode1
CAT-Walk: Inductive Hypergraph Learning via Set WalksCode1
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction—0
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks—0
Training-Free Message Passing for Learning on Hypergraphs—0
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings—0
HyperQuery: Beyond Binary Link Prediction—0
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks—0
HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction—0
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting—0
Scalable and Effective Negative Sample Generation for Hyperedge Prediction—0
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning—0
Unified Pretraining for Recommendation via Task HypergraphsCode0
Community and hyperedge inference in multiple hypergraphsCode0
Hyperedge Prediction using Tensor Eigenvalue DecompositionCode0
Structure and inference in hypergraphs with node attributesCode0
Interpretable Subgraph Feature Extraction for Hyperlink PredictionCode0
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised LearningCode0
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