Junda Ye

32 papers A* 9A 3Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.
AAAI
Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026 J jnl
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.
CoRR
Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, 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
Representing Tuple in Graph with Trail Structure.
ACM Trans. Knowl. Discov. Data
Zhongbao Zhang, Zhizhen He, Junda Ye, Li Sun
2026 J jnl
RoLED: Role-disentangled graph neural network for both homophily and heterophily.
Neurocomputing
Junda Ye, Zhongbao Zhang, Feiyang Wang, Jiawei Zhang, Li Sun
2026 A conf
Towards Multifaceted Graph Condensation in Discrete Realm.
WSDM
Junda Ye, Zhongbao Zhang, Zhizhen He, Feiyang Wang, Li Sun
2025 — conf
CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs.
PAKDD (2)
Feiyang Wang, Zhongbao Zhang, Junda Ye, Li Sun, Jianzhong Qi
2025 J jnl
CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs.
CoRR
Feiyang Wang, Zhongbao Zhang, Junda Ye, Li Sun, Jianzhong Qi
2025 J jnl
Efficiently Transfer User Profile Across Networks.
IEEE Trans. Big Data
Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao, Junda Ye
2025 J jnl
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.
CoRR
Zulun Zhu, Tiancheng Huang, Kai Wang, Junda Ye, Xinghe Chen, Siqiang Luo
2025 J jnl
MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts.
CoRR
Junda Ye, Zhongbao Zhang, Li Sun, Siqiang Luo
2025 A* conf
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation.
IJCAI
Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu
2024 A conf
A Mixed-Curvature Graph Diffusion Model.
CIKM
Yujie Wang, Shuo Zhang, Junda Ye, Hao Peng, Li Sun
2024 J jnl
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces.
CoRR
Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
2024 J jnl
Contrastive sequential interaction network learning on co-evolving Riemannian spaces.
Int. J. Mach. Learn. Cybern.
Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, 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
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
2023 A* conf
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.
IJCAI
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
2023 J jnl
Contrastive Graph Clustering in Curvature Spaces.
CoRR
Li Sun, Feiyang Wang, Junda Ye, 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 J jnl
GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment.
ACM Trans. Web
Li Sun, Yang Du, Shuai Gao, Junda Ye, Feiyang Wang, Fuxin Ren, Mingchen Liang, Yue Wang, Shuhai Wang
2023 A* conf
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.
WWW
Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
2023 J jnl
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.
CoRR
Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
2023 A* conf
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
AAAI
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2022 A* conf
A Self-Supervised Mixed-Curvature Graph Neural Network.
AAAI
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022 A conf
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
CIKM
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022 J jnl
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
CoRR
Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022 — conf
AISFG: Abundant Information Slot Filling Generator.
NAACL-HLT
Yang Yan, Junda Ye, Zhongbao Zhang, Liwen Wang
2022 A* conf
DiriE: Knowledge Graph Embedding with Dirichlet Distribution.
WWW
Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan
2022 — conf
Privacy-Preserving Vertical Federated Logistic Regression without Trusted Third-Party Coordinator.
ICMLSC
Huizhong Sun, Zhenya Wang, Yuejia Huang, Junda Ye
2022 J jnl
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
CoRR
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2021 J jnl
A Self-supervised Mixed-curvature Graph Neural Network.
CoRR
Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu