Junda Ye

Orcid: 0000-0002-2900-4908

According to our database1, Junda Ye authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Contrastive sequential interaction network learning on co-evolving Riemannian spaces.
Int. J. Mach. Learn. Cybern., April, 2024

Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces.
CoRR, 2024

2023
GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment.
ACM Trans. Web, August, 2023

Contrastive Graph Clustering in Curvature Spaces.
CoRR, 2023

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.
Proceedings of the ACM Web Conference 2023, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DiriE: Knowledge Graph Embedding with Dirichlet Distribution.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AISFG: Abundant Information Slot Filling Generator.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Privacy-Preserving Vertical Federated Logistic Regression without Trusted Third-Party Coordinator.
Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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