Publication list

Publications

Complete publication list with one paper link per item. arXiv/CoRR-only papers are labeled as preprint. Equal contribution is marked with a black * on the author name.

Selected Publications DBLP Google Scholar

2026

ICLR 2026

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.

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

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.
paper
preprint

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

Yisen Gao, Yixi Cai, Tianshi Zheng, Jiaxin Bai, Yangqiu Song.
paper
WWW 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.
paper
WWW 2026

Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation.

Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li.
paper
WWW 2026

Towards Geometry-Consistent Federated Graph Learning.

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

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.
paper
preprint

Towards Neural Graph Data Management.

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

2025

NeurIPS 2025

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

Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li.
paper
DEBull 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.
paper
AAAI 2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.

Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li.
paper
AAAI 2025

Discrete Curvature Graph Information Bottleneck.

Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li.
paper
AAAI 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.
paper
CVPR 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.
paper
DAI 2025

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

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

2024

ICML 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

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