Jianan Zhao

According to our database, Jianan Zhao authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

GraphAny: A Foundation Model for Node Classification on Any Graph.

Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

CoRR, 2024

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.

Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang

CoRR, 2024

Graph Foundation Models.

Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cell ontology guided transcriptome foundation model.

Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

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

ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training.

Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

GraphText: Graph Reasoning in Text Space.

Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

CoRR, 2023

Self-Supervised Graph Structure Refinement for Graph Neural Networks.

Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.

Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Test-Time Training for Graph Neural Networks.

Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie

CoRR, 2022

Prohibited Item Detection via Risk Graph Structure Learning.

Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.

Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the International Conference on Machine Learning, 2022

Adaptive Kernel Graph Neural Network.

Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Gophormer: Ego-Graph Transformer for Node Classification.

Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye

CoRR, 2021

Multi-view Self-supervised Heterogeneous Graph Embedding.

Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.

Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.

Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Network Schema Preserving Heterogeneous Information Network Embedding.

Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.

Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi

Proceedings of the Web and Big Data - Third International Joint Conference, 2019