Yisen Gao

According to our database, Yisen Gao authored at least 20 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs.

Yisen Gao, Yixi Cai, Tianshi Zheng, Jiaxin Bai, Yangqiu Song

CoRR, May, 2026

PatchWorld: Gradient-Free Optimization of Executable World Models.

Jiaxin Bai, Yue Guo, Yifei Dong, Jiaxuan Xiong, Tianshi Zheng, Yixia Li, Tianqing Fang, Yufei Li, Yisen Gao, Haoyu Huang, Zhongwei Xie, Hong Ting Tsang, Zihao Wang, Lihui Liu, Jeff Pan, Yangqiu Song

CoRR, May, 2026

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning.

Yisen Gao, Jiaxin Bai, Haoyu Huang, Zhongwei Xie, Yufei Li, Hong Ting Tsang, Sirui Han, Yangqiu Song

CoRR, May, 2026

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning.

Haoyu Huang, Jiaxin Bai, Shujie Liu, Yang Wei, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Yangqiu Song

CoRR, May, 2026

Towards Neural Graph Data Management.

Yufei Li, Yisen Gao, Jiaxin Bai, Jiaxuan Xiong, Haoyu Huang, Zhongwei Xie, Hong Ting Tsang, Yangqiu Song

CoRR, March, 2026

NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training.

Zhongwei Xie, Jiaxin Bai, Shujie Liu, Haoyu Huang, Yufei Li, Yisen Gao, Hong Ting Tsang, Yangqiu Song

CoRR, February, 2026

Towards Geometry-Consistent Federated Graph Learning.

Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu

Proceedings of the ACM Web Conference 2026, 2026

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model.

Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song

Proceedings of the ACM Web Conference 2026, 2026

Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation.

Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li

Proceedings of the ACM Web Conference 2026, 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning.

Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space.

Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction.

Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li

CoRR, October, 2025

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.

Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu

CoRR, May, 2025

Top Ten Challenges Towards Agentic Neural Graph Databases.

Jiaxin Bai, Zihao Wang, Yukun Zhou, Hang Yin, Weizhi Fei, Qi Hu, Zheye Deng, Jiayang Cheng, Tianshi Zheng, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Lixin Fan, Binhang Yuan, Wei Wang, Lei Chen, Xiaofang Zhou, Yangqiu Song

IEEE Data Eng. Bull., 2025

SIGMA: A Dual-Agent Reinforcement Learning-OptimizedFramework for Graph Classification.

Xinbang Cheng, Haodong Qian, Yisen Gao, Xingcheng Fu, Rongye Shi

Proceedings of the 2025 7th International Conference on Distributed Artificial Intelligence, 2025

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding.

Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.

Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Discrete Curvature Graph Information Bottleneck.

Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck.

Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

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