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Representing higher-order dependencies in networks.
Xu J, Wickramarathne TL, Chawla NV. Xu J, et al. Among authors: chawla nv. Sci Adv. 2016 May 20;2(5):e1600028. doi: 10.1126/sciadv.1600028. eCollection 2016 May. Sci Adv. 2016. PMID: 27386539 Free PMC article.
HONEM: Learning Embedding for Higher Order Networks.
Saebi M, Ciampaglia GL, Kaplan LM, Chawla NV. Saebi M, et al. Among authors: chawla nv. Big Data. 2020 Aug;8(4):255-269. doi: 10.1089/big.2019.0169. Big Data. 2020. PMID: 32820952
On the use of real-world datasets for reaction yield prediction.
Saebi M, Nan B, Herr JE, Wahlers J, Guo Z, Zurański AM, Kogej T, Norrby PO, Doyle AG, Chawla NV, Wiest O. Saebi M, et al. Among authors: chawla nv. Chem Sci. 2023 Mar 13;14(19):4997-5005. doi: 10.1039/d2sc06041h. eCollection 2023 May 17. Chem Sci. 2023. PMID: 37206399 Free PMC article.
Recipe Recommendation With Hierarchical Graph Attention Network.
Tian Y, Zhang C, Metoyer R, Chawla NV. Tian Y, et al. Among authors: chawla nv. Front Big Data. 2022 Jan 12;4:778417. doi: 10.3389/fdata.2021.778417. eCollection 2021. Front Big Data. 2022. PMID: 35098111 Free PMC article.
59 results