Zhenhao Huang

Orcid: 0009-0007-8944-0385

Affiliations:

North China Electric Power University, Beijing, China

According to our database¹, Zhenhao Huang authored at least 14 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

[BibT_eX]

[DOI]

CoRR, March, 2026

RiemannGL: Riemannian Geometry Changes Graph Deep Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space.

[BibT_eX]

[DOI]

CoRR, April, 2025

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

RicciNet: Deep Clustering via A Riemannian Generative Model.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Spiking Graph Neural Network on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Zhenhao Huang

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Bibliography

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