Hyper-SAGNN: a self-attention based graph neural network for hypergraphs R Zhang, Y Zou, J Ma International Conference on Learning Representations (ICLR) 2020, 2019 | 239 | 2019 |
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record Y Ahuja, Y Zou, A Verma, D Buckeridge, Y Li Journal of biomedical informatics 134, 104190, 2022 | 28 | 2022 |
Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model Y Zou, A Pesaranghader, Z Song, A Verma, DL Buckeridge, Y Li Scientific Reports 12 (1), 17868, 2022 | 16 | 2022 |
Modeling electronic health record data using a knowledge-graph-embedded topic model Y Zou, A Pesaranghader, A Verma, D Buckeridge, Y Li arXiv preprint arXiv:2206.01436, 2022 | 3 | 2022 |
Understanding Opinions Towards Climate Change on Social Media Y Pupneja, J Zou, S Lévy, S Huang arXiv preprint arXiv:2312.01217, 2023 | | 2023 |
Knowledge-informed Neural Topic Modeling on Electronic Health Records and Biomedical Knowledge Graph Y Zou McGill University (Canada), 2023 | | 2023 |
Summary of Best Papers Selected for the IMIA Yearbook 2023, CRI Section Y Ahuja, Y Zou, A Verm, D Buckeridge, Y Li J Biomed Inform 134, 104190, 2022 | | 2022 |