Results 121 to 130 of about 1,404 (207)

Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks

Web-based applications often involve analyzing complex multirelational data generated by various domains, including social platforms, bibliographic networks, recommendation systems, and ecommerce platforms.
Yu, Jongmin, Liò, Pietro, Wang, Jingyun, Harit, Anoushka, Sun, Zhongtian   +4 more
core   +1 more source

Hypergraph Neural Network for Multimodal Depression Recognition

Deep learning-based approaches for automatic depression recognition offer advantages of low cost and high efficiency. However, depression symptoms are challenging to detect and vary significantly between individuals.
Shuqi Yan, Zhixun Liang, Yang Dong, Xiaolong Li, Yunfei Yi   +4 more
core   +1 more source

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

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation*

In current research on recommendation systems exploring multi behavior sequence recommendation has become a crucial topic It is well known that user interactions on online platforms such as social media websites news aggregation applications involve not ...
Lu, D, Li, L, Xu, G, Zhang, H, Wu, S
core   +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

Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. [PDF]

Int J Mol Sci
Chan KY, Yamaguchi T, Izumiya Y, Chu YW, Watanabe T.   +4 more
europepmc   +1 more source

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks

Hypergraphs serve as an effective model for depicting complex connections in various real-world scenarios, from social to biological networks. The development of Hypergraph Neural Networks (HGNNs) has emerged as a valuable method to manage the intricate ...
Rudinac, Stevan, Zhang, David W., Kackovic, Monika, Huang, Jia-Hong, Worring, Marcel, Wang, Shuai, Wijnberg, Nachoem   +6 more
core