Tang, Jian
HEC Montréal · Mila - Quebec Artificial Intelligence Institute
9 papers on CoChatORCID 0009-0002-8083-340X
Most cited papers
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LINE: Large-scale Information Network Embedding
Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., & Mei, Q. (2015) · Proceedings of the 24th International Conference on World Wide Web
Advanced Graph Neural NetworksComplex Network Analysis Techniques
Cited by 5,416
- Verified
Scientific discovery in the age of artificial intelligence.
Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., et al. (2023) · Nature
Artificial Intelligence ApplicationsMachine Learning in Materials Science
Cited by 1,823
- Verified
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Sun, Z., Deng, Z.-H., Nie, J.-Y., & Tang, J. (2019) · arXiv
Advanced Graph Neural NetworksTopic Modeling
Cited by 1,414
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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics
Advanced Graph Neural NetworksTopic Modeling
Cited by 676
- Verified
Artificial intelligence in COVID-19 drug repurposing
Zhou, Y., Wang, F., Tang, J., Nussinov, R., & Cheng, F. (2020) · The Lancet Digital Health
Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and Education
Cited by 636
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DeepInf: Social Influence Prediction with Deep Learning
Qiu, J., Tang, J., Ma, H., Dong, Y., Wang, K., & Tang, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Complex Network Analysis TechniquesRecommender Systems and Techniques
Cited by 587
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Utilizing graph machine learning within drug discovery and development
Gaudelet, T., Day, B., Jamasb, A. R., Soman, J., Regep, C., Liu, G., Hayter, J. B. R., Vickers, R., Roberts, C., Tang, J., et al. (2021) · Briefings in Bioinformatics
Computational Drug Discovery MethodsBioinformatics and Genomic Networks
Cited by 313
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Deep generative molecular design reshapes drug discovery
Zeng, X., Wang, F., Luo, Y., Kang, S.-G., Tang, J., Lightstone, F. C., Fang, E. F., Cornell, W., Nussinov, R., & Cheng, F. (2022) · Cell Reports Medicine
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 295
- Verified
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer’s disease
Cheng, F., Wang, F., Tang, J., Zhou, Y., Fu, Z., Zhang, P., Haines, J. L., Leverenz, J. B., Gan, L., Hu, J., et al. (2024) · Cell Reports Medicine
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 63
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