Zhao, Jianan

19 publications

ICLR 2025 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang

NeurIPS 2025 Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang

NeurIPS 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

NeurIPSW 2024 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

NeurIPSW 2024 GraphText: Graph Reasoning in Text Space Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

ICML 2024 Position: Graph Foundation Models Are Already Here Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

AAAI 2023 DC-Former: Diverse and Compact Transformer for Person Re-Identification Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

ICLR 2023 Learning on Large-Scale Text-Attributed Graphs via Variational Inference Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

AAAI 2022 Adaptive Kernel Graph Neural Network Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

IJCAI 2022 Rx-Refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

AAAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

ECML-PKDD 2021 Multi-View Self-Supervised Heterogeneous Graph Embedding Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang

CVPR 2021 PhD Learning: Learning with Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification Jianan Zhao, Fengliang Qi, Guangyu Ren, Lin Xu

IJCAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye