Andy (Jianan) Zhao

I am a second-year PhD student of computer science at Mila and University of Montreal supervised by Prof. Jian Tang. Prior to that, I received my MSc majored in computer science at BUPT supervised by Prof. Chuan Shi. I enjoy doing research on graph machine learning and natural language processing.

Email  /  Github  /  Google Scholar

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Selected Publications

(* stands for equal contribution)

GraphText: Graph Reasoning in Text Space
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael Bronstein, Zhaocheng Zhu, Jian Tang
GraphText enables training-free and interactive graph reasoning using LLMs.
Arxiv Preprint, 2023
[paper] [code]
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
[ICLR'23 Notable-top5% (Oral)] International Conference on Learning Representations
Top 1 accuracy of three datasets on the Open Graph Benchmark.
[paper] [code]
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
[ICML'22] The International Conference of Machine Learning
[paper] [code]
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao*, Qianlong Wen*, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
[WSDM'23] : ACM International Conference on Web Search and Data Mining
[paper] [code]
Adaptive Kernel Graph Neural Network
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
[AAAI'22] AAAI Conference on Artificial Intelligence
[paper] [code]
Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao*, Rui Li*, Qianlong Wen*, Chaozhuo Li, Yiqi Wang, Yuming Liu, Hao Sun, Yanfang Ye, Xing Xie
Arxiv Preprint, 2021
[paper] [code]
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin Winstanley, Chuxu Zhang, Yanfang Ye
[CIKM'21] ACM International Conference on Information and Knowledge Management
Best Full-Paper Award [1/1251]
[paper]
Multi-View Self-Supervised Heterogeneous Graph Embedding
Jianan Zhao*, Qianlong Wen*, Shiyu Sun, Yanfang Ye, Chuxu Zhang
[ECML/PKDD'21] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
[paper] [code]
Heterogeneous Graph Structure Learning for Graph Neural Networks
Jianan Zhao*, Xiao Wang*, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
[AAAI'21] AAAI Conference on Artificial Intelligence
[paper] [code]
Network Schema Preserving Heterogeneous Information Network Embedding
Jianan Zhao*, Xiao Wang*, Chuan Shi, Zekuan Liu, Yanfang Ye
[IJCAI'20] International Joint Conference on Artificial Intelligence
[paper] [code]
Recent News

  • [1 Nov 2023] Invited by Data Skeptic to give a podcast talk.
  • [6 Oct 2023] Proposed GraphText: a framework for training-free and interactive graph reasoning using LLMs. Notably, GraphText-ChatGPT outperforms several supervised-GNN baselines, like GCNII and GATv2, without any training on graph. Special thanks to Michael Bronstein for advising.
  • [20 Jan 2023] Our GLEM paper, merging graph neural networks with language models, was recognized in the top 5% at ICLR 2023. GLEM topped the charts on the OGB Leaderboard in several categories.
  • [8 Sep 2022] Earned the Stars of Tomorrow [Top 10%] certificate at my Microsoft Research Asia internship (Jul 2021 - Jul 2022). Gratitude to mentor Chaozhuo Li and group leader Xing Xie.
  • [16 May 2022] Delighted to announce our paper on HousE: Knowledge Graph Embedding with Householder Parameterization has been accepted at ICML2022. Both paper and code are now available.
  • [11 Feb 2021] Our paper "RxNet: Rx-refill Graph Neural Network for Overprescribing Detection" paper clinched the Best Full Paper Award at CIKM2021!
  • [26 Oct 2021] Released our new work on Gophormer, a graph transformer for node-level tasks.
  • [24 Oct 2021] Proudly co-founded the MLNLP Student Community (China) as a committee member.
  • [26 Jul 2021] Our work NSHE work is now featured in DGL 0.7.

More About Me!

Life is an extraordinary journey, and I am deeply committed to enriching both my mind and body. On the mental front, I enjoy reading and listen to podcasts on neuroscience and general life. Physically, I am passionate about bouldering/climbing, powerlifting, and making a splash in the pool.

As I navigate through my academic journey, I aim to accomplish more than just research. Here are some fun facts about me:

  • 🎸 Guitar: I play fingerstyle guitar and founded the first intern guitar club at Microsoft Research Asia (Dec 2021).
  • 🏋️‍ Powerlifting: Reached Top 4% lifter by squatting 2.5x body weight (200kg/80kg RM3) on July 12, 2023.
  • 🧗 Bouldering: I'm keen in bouldering and aiming at achieving V8 at some day. Check out my climbing clips here.

    By pursuing these goals alongside my research work, I manage strive 🤣 to live a balanced life.



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