Junda Ye

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Logistic Regression

Domain Adaptation

Graph Clustering

Interaction Networks

Top Venues

Publications

Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR (2024)
Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15 (4) (2024)
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
RicciNet: Deep Clustering via A Riemannian Generative Model. WWW (2024)
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. CoRR (2024)
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. ICDM (2023)
Li Sun, Yang Du, Shuai Gao, Junda Ye, Feiyang Wang, Fuxin Ren, Mingchen Liang, Yue Wang, Shuhai Wang
GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment. ACM Trans. Web 17 (3) (2023)
Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. CoRR (2023)
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI (2023)
Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. WWW (2023)
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI (2023)
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
Contrastive Graph Clustering in Curvature Spaces. CoRR (2023)
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. CoRR (2022)
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CoRR (2022)
Yang Yan, Junda Ye, Zhongbao Zhang, Liwen Wang
AISFG: Abundant Information Slot Filling Generator. NAACL-HLT (2022)
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI (2022)
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CIKM (2022)
Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan
DiriE: Knowledge Graph Embedding with Dirichlet Distribution. WWW (2022)
Huizhong Sun, Zhenya Wang, Yuejia Huang, Junda Ye
Privacy-Preserving Vertical Federated Logistic Regression without Trusted Third-Party Coordinator. ICMLSC (2022)
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
A Self-supervised Mixed-curvature Graph Neural Network. CoRR (2021)