Results 91 to 100 of about 1,157 (178)

Neural State-Space Hypergraph Networks: EEG Seizure Detection via Distributional and Geometric Inductive Biases

IEEE Access
Automated seizure detection from multichannel electroencephalogram (EEG) signals requires a formulation capable of capturing the underlying physics of neural activity including its evolving temporal states, non-standard statistical distributions, and ...
Ramzan Basheer, Deepak Mishra
doaj   +1 more source

Hyperedge Interaction-aware Hypergraph Neural Network

CoRR
Hypergraphs provide an effective modeling approach for modeling high-order relationships in many real-world datasets. To capture such complex relationships, several hypergraph neural networks have been proposed for learning hypergraph structure, which propagate information from nodes to hyperedges and then from hyperedges back to nodes.
Xiaobing Pei, Rongping Ye, Haoran Yang, Ruiqi Wang   +3 more
openaire   +2 more sources

Let There be Direction in Hypergraph Neural Networks.

Trans. Mach. Learn. Res.
Hypergraphs are a powerful abstraction for modeling high-order interactions between a set of entities of interest and have been attracting a growing interest in the graph-learning literature. In particular, directed hypegraphs are crucial in their capability of representing real-world phenomena involving group relations where two sets of elements ...
Fiorini S., Coniglio S., Ciavotta M., Bue A. D.   +3 more
openaire   +2 more sources

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

CoRR
Knowledge hypergraphs generalize knowledge graphs using hyperedges to connect multiple entities and depict complicated relations. Existing methods either transform hyperedges into an easier-to-handle set of binary relations or view hyperedges as isolated and ignore their adjacencies. Both approaches have information loss and may potentially lead to the
Mengfan Li 0001, Xuanhua Shi, Chenqi Qiao, Teng Zhang 0001, Hai Jin 0001   +4 more
openaire   +2 more sources

Strong Target Attack on Hypergraph Neural Networks via Label Poisoning and Structure Modification. [PDF]

Entropy (Basel)
Huang J, Sun Q, Zhang N, Zheng M.
europepmc   +1 more source

Higher-order Interaction Matters: Modeling Epidemics via Dynamic Hypergraph Neural Networks. [PDF]

Pac Symp Biocomput
Liu S, Gong S, Feng T, Liu Z, Lau MSY, Jin W.   +5 more
europepmc   +1 more source

Cross-Scale Hypergraph Neural Networks with Inter-Intra Constraints for Mitosis Detection. [PDF]

Sensors (Basel)
Li J, Dong D, Zhan Y, Zhu G, Zhang H, Xie X, Yang L.   +6 more
europepmc   +1 more source

scHyper: reconstructing cell-cell communication through hypergraph neural networks. [PDF]

Brief Bioinform
Li W, Wang H, Zhao J, Xia J, Sun X.
europepmc   +1 more source

Gene expression prediction from histology images via hypergraph neural networks. [PDF]

Brief Bioinform
Li B, Zhang Y, Wang Q, Zhang C, Li M, Wang G, Song Q.   +6 more
europepmc   +1 more source

Traffic flow prediction via dynamic hypergraph learning. [PDF]

PLoS One
Wei S, Yang Y, Wang C.
europepmc   +1 more source