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