We stand with Ukraine

We stand with Ukraine

Jianan Zhao

Orcid: 0000-0002-9743-7588

Affiliations:

University of Montreal, QC, Canada
University of Notre Dame, IN, USA (former)
Case Western Reserve University, Cleveland, OH, USA (former)
University of Alberta, Edmonton, AB, Canada (former)
Beijing University of Posts and Telecommunications, China (former)

According to our database¹, Jianan Zhao authored at least 30 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

GeneZip: Region-Aware Compression for Long Context DNA Modeling.

[DOI]

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CoRR, February, 2026

2025

Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention.

[DOI]

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CoRR, July, 2025

Advancing real-time infectious disease forecasting using large language models.

[DOI]

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Lauren M. Gardner

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Hao (Frank) Yang

Nat. Comput. Sci., June, 2025

Graph Foundation Models: A Comprehensive Survey.

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Nitesh V. Chawla

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CoRR, May, 2025

Fully-inductive Node Classification on Arbitrary Graphs.

[DOI]

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Michael M. Bronstein

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Test-Time Training for Graph Neural Networks.

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Proceedings of the Database Systems for Advanced Applications, 2025

2024

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

[DOI]

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Michael M. Bronstein

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CoRR, 2024

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

[DOI]

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Lauren M. Gardner

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Hao (Frank) Yang

CoRR, 2024

Graph Foundation Models.

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CoRR, 2024

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

[DOI]

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Michael M. Bronstein

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

Cell ontology guided transcriptome foundation model.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Graph Foundation Models Are Already Here.

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

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

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

2023

GraphText: Graph Reasoning in Text Space.

[DOI]

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Michael M. Bronstein

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CoRR, 2023

Self-Supervised Graph Structure Refinement for Graph Neural Networks.

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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.

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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.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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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.

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CoRR, 2022

Prohibited Item Detection via Risk Graph Structure Learning.

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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.

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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).

[DOI]

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Erin L. Winstanley

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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.

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Proceedings of the International Conference on Machine Learning, 2022

Adaptive Kernel Graph Neural Network.

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

2021

Gophormer: Ego-Graph Transformer for Node Classification.

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CoRR, 2021

Multi-view Self-supervised Heterogeneous Graph Embedding.

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

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

[DOI]

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Erin L. Winstanley

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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.

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

2020

Network Schema Preserving Heterogeneous Information Network Embedding.

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

2019

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

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

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