Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses. [PDF]
Cui Q, Ding Z, Chen F.
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Integration of protein sequence and protein-protein interaction data by hypergraph learning to identify novel protein complexes. [PDF]
Xia S +6 more
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Learning on Hypergraphs with Sparsity
Hypergraph is a general way of representing high-order relations on a set of objects. It is a generalization of graph, in which only pairwise relations can be represented. It finds applications in various domains where relationships of more than two objects are observed.
openaire
Link Prediction in Heterogeneous Information Networks: Improved Hypergraph Convolution with Adaptive Soft Voting. [PDF]
Zhang S +6 more
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Strong Target Attack on Hypergraph Neural Networks via Label Poisoning and Structure Modification. [PDF]
Huang J, Sun Q, Zhang N, Zheng M.
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Self-supervised hypergraph structure learning
Mingyuan Li +5 more
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Hyper-MDR: An open-world multimodal reasoning framework based on dynamic hypergraph and meta-strategy optimization. [PDF]
Shi J, Huang X, Yuan L.
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Hypergraph-based contrastive embedding and attention fusion for detection of skin cancer. [PDF]
Banerjee T +5 more
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Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC. [PDF]
Song J +19 more
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