Jianan Zhao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Attributed Graphs

Graph Representations

Structure Learning

Top Venues

Publications

Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR (2024)
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
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
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 (2024)
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
Graph Foundation Models. CoRR (2024)
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)
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)
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphText: Graph Reasoning in Text Space. CoRR (2023)
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM (2023)
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)
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)
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 (2023)
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
Test-Time Training for Graph Neural Networks. CoRR (2022)
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)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
Adaptive Kernel Graph Neural Network. AAAI (2022)
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 (2022)
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 (2022)
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)
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)
Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
Prohibited Item Detection via Risk Graph Structure Learning. WWW (2022)
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)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
Adaptive Kernel Graph Neural Network. CoRR (2021)
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI (2021)
Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) (2021)
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
Gophormer: Ego-Graph Transformer for Node Classification. CoRR (2021)
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI (2020)
Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. APWeb/WAIM (1) (2019)