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Jianan Zhao 0002
Person information
- affiliation: University of Montreal, QC, Canada
- affiliation (former): University of Notre Dame, IN, USA
- affiliation (former): Case Western Reserve University, Cleveland, OH, USA
- affiliation (former): University of Alberta, Edmonton, AB, Canada
- affiliation (former): Beijing University of Posts and Telecommunications, China
Other persons with the same name
- Jianan Zhao 0001 — Jinan University, College of Management / Institute for Systems Engineering, Guangzhou, China
- Jianan Zhao 0003 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Jianan Zhao 0004 — Beijing Jiaotong University, China
- Jianan Zhao 0005
— Guangxi University, School of Computer and Electronic Information, Nanning, China
- Jianan Zhao 0006
- Jianan Zhao 0007 — University of California, La Jolla, CA, USA
- Jianan Zhao 0008 — Southeast University, School of Mechanical Engineering, Nanjing, China
- Jianan Zhao 0009 — Shanghai Em-Data Technology Co., Ltd., China
- Jianan Zhao 0010 — Ant Group, China
- Jianan Zhao 0011 — Lanzhou Jiaotong University, School of Electronic Information Engineering, China
- Jianan Zhao 0012 — University of Toronto, Department of Electrical and Computer Engineering, CA, USA
- Jianan Zhao 0013 — Jiangsu Normal University, Business School, Xuzhou, China
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2020 – today
- 2024
- [c17]Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang:
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training. ACL (1) 2024: 8950-8963 - [c16]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Position: Graph Foundation Models Are Already Here. ICML 2024 - [c15]Haitao Mao
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 2024: 1789-1792 - [i11]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Graph Foundation Models. CoRR abs/2402.02216 (2024) - [i10]Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang:
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study. CoRR abs/2404.06962 (2024) - [i9]Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR abs/2405.20445 (2024) - [i8]Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang:
Cell-ontology guided transcriptome foundation model. CoRR abs/2408.12373 (2024) - 2023
- [c14]Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie:
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. ACL (1) 2023: 6335-6347 - [c13]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR 2023 - [c12]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:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - [c11]Jianan Zhao
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM 2023: 159-167 - [i7]Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie:
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. CoRR abs/2305.14126 (2023) - [i6]Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphText: Graph Reasoning in Text Space. CoRR abs/2310.01089 (2023) - 2022
- [c10]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao:
Adaptive Kernel Graph Neural Network. AAAI 2022: 7051-7058 - [c9]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML 2022: 13209-13224 - [c8]Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI 2022: 5379-5383 - [c7]Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang:
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD 2022: 3713-3721 - [c6]Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du:
Prohibited Item Detection via Risk Graph Structure Learning. WWW 2022: 1434-1443 - [i5]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR abs/2202.07919 (2022) - [i4]Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie:
Test-Time Training for Graph Neural Networks. CoRR abs/2210.08813 (2022) - [i3]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR abs/2210.14709 (2022) - 2021
- [c5]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c4]Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM 2021: 2537-2546 - [c3]Jianan Zhao
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) 2021: 319-334 - [i2]Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye:
Gophormer: Ego-Graph Transformer for Node Classification. CoRR abs/2110.13094 (2021) - [i1]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye:
Adaptive Kernel Graph Neural Network. CoRR abs/2112.04575 (2021) - 2020
- [c2]Jianan Zhao
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372
2010 – 2019
- 2019
- [c1]Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi:
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. APWeb/WAIM (1) 2019: 95-109
Coauthor Index
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last updated on 2024-10-09 21:30 CEST by the dblp team
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