Jianan Zhao

35 papers A* 12A 2Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
GeneZip: Region-Aware Compression for Long Context DNA Modeling.
CoRR
Jianan Zhao, Xixian Liu, Zhihao Zhan, Xinyu Yuan, Hongyu Guo, Jian Tang
2025 J jnl
Advancing real-time infectious disease forecasting using large language models.
Nat. Comput. Sci.
Hongru Du, Yang Zhao, Jianan Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang
2025 A* conf
Fully-inductive Node Classification on Arbitrary Graphs.
ICLR
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang
2025 J jnl
Graph Foundation Models: A Comprehensive Survey.
CoRR
Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025 J jnl
Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention.
CoRR
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
2025 — conf
Test-Time Training for Graph Neural Networks.
DASFAA (3)
Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li
2024 J jnl
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.
CoRR
Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang
2024 A* conf
Cell ontology guided transcriptome foundation model.
NeurIPS
Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024 J jnl
Cell-ontology guided transcriptome foundation model.
CoRR
Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024 J jnl
Graph Foundation Models.
CoRR
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
GraphAny: A Foundation Model for Node Classification on Any Graph.
CoRR
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2024 A* conf
Position: Graph Foundation Models Are Already Here.
ICML
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 — conf
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training.
ACL (1)
Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang
2024 — conf
The 1st International Workshop on Graph Foundation Models (GFM).
WWW (Companion Volume)
Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
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
2023 J jnl
GraphText: Graph Reasoning in Text Space.
CoRR
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2023 A* conf
Learning on Large-scale Text-attributed Graphs via Variational Inference.
ICLR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023 A conf
Self-Supervised Graph Structure Refinement for Graph Neural Networks.
WSDM
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2023 — conf
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
ACL (1)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 J jnl
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
CoRR
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2022 A* conf
Adaptive Kernel Graph Neural Network.
AAAI
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
2022 A* conf
HousE: Knowledge Graph Embedding with Householder Parameterization.
ICML
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
HousE: Knowledge Graph Embedding with Householder Parameterization.
CoRR
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 A* conf
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
KDD
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
2022 J jnl
Learning on Large-scale Text-attributed Graphs via Variational Inference.
CoRR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022 A* conf
Prohibited Item Detection via Risk Graph Structure Learning.
WWW
Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
2022 A* conf
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).
IJCAI
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2022 J jnl
Test-Time Training for Graph Neural Networks.
CoRR
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
2021 J jnl
Adaptive Kernel Graph Neural Network.
CoRR
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
2021 J jnl
Gophormer: Ego-Graph Transformer for Node Classification.
CoRR
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
2021 A* conf
Heterogeneous Graph Structure Learning for Graph Neural Networks.
AAAI
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
2021 — conf
Multi-view Self-supervised Heterogeneous Graph Embedding.
ECML/PKDD (2)
Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
2021 A conf
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.
CIKM
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2020 A* conf
Network Schema Preserving Heterogeneous Information Network Embedding.
IJCAI
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
2019 — conf
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.
APWeb/WAIM (1)
Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi