Zhenhao Huang

18 papers A* 8Journal 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
WWW
Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026 J jnl
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
CoRR
Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026 J jnl
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models.
CoRR
Li Sun, Zhenhao Huang, Silei Chen, Lanxu Yang, Junda Ye, Sen Su, Philip S. Yu
2026 J jnl
RiemannGL: Riemannian Geometry Changes Graph Deep Learning.
CoRR
Li Sun, Qiqi Wan, Suyang Zhou, Zhenhao Huang, Philip S. Yu
2025 J jnl
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models.
CoRR
Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu
2025 J jnl
IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space.
CoRR
Li Sun, Zhenhao Huang, Yujie Wang, Hongbo Lv, Chunyang Liu, Hao Peng, Philip S. Yu
2025 A* conf
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.
WWW
Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2025 J jnl
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.
CoRR
Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu
2024 J jnl
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
CoRR
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 A* conf
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.
ICML
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024 J jnl
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.
CoRR
Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
2024 A* conf
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
AAAI
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024 J jnl
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
CoRR
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024 A* conf
RicciNet: Deep Clustering via A Riemannian Generative Model.
WWW
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2024 A* conf
Spiking Graph Neural Network on Riemannian Manifolds.
NeurIPS
Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2024 J jnl
Spiking Graph Neural Network on Riemannian Manifolds.
CoRR
Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
2023 A* conf
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
ICDM
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
2023 A* conf
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting.
AAAI
Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang