Zhiheng Zhou

Orcid: 0000-0002-6743-7835

Affiliations:
  • Xiangtan University, Department of Mathematics and Computational Science, Hunan, China


According to our database1, Zhiheng Zhou authored at least 14 papers between 2018 and 2026.

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Timeline

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Bibliography

2026
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification.
CoRR, May, 2026

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing.
CoRR, April, 2026

Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach.
CoRR, March, 2026

Classification of Alzheimer's Disease by Modeling Brain Networks as Signed Networks Under Deep Learning Frameworks.
IEEE Trans. Comput. Biol. Bioinform., 2026

HOI-brain: A novel multi-channel transformers framework for brain disorder diagnosis by accurately extracting signed higher-order interactions from fMRI data.
Medical Image Anal., 2026

Extracting interpretable higher-order topological features across multiple scales from fMRI for Alzheimer's disease classification.
Biomed. Signal Process. Control., 2026

MFMHIN: Predicting synergistic drug combinations via biologically-aware heterogeneous information networks.
Biomed. Signal Process. Control., 2026

Double Graph Attention Network for predicting non-alcoholic fatty liver disease in patients with type 2 diabetes.
Artif. Intell. Medicine, 2026

2025
Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network.
BMC Bioinform., December, 2025

Develop a Deep-Learning Model to Predict Cancer Immunotherapy Response Using In-Born Genomes.
IEEE J. Biomed. Health Informatics, September, 2025

Signed Higher-Order Interactions for Brain Disorder Diagnosis via Multi-Channel Transformers.
CoRR, July, 2025

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024
A novel graph neural network method for Alzheimer's disease classification.
Comput. Biol. Medicine, 2024

2018
One-to-one disjoint path covers in digraphs.
Theor. Comput. Sci., 2018


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