1 code implementation • NeurIPS 2023 • Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Li-Ping Liu
Self-supervised training methods for transformers have demonstrated remarkable performance across various domains.
no code implementations • 25 Mar 2022 • Xinmeng Li, Hao Zhu, Li-Ping Liu, Soha Hassoun
We show that annotation performance, for ESP and other models, is a strong function of the number of molecules in the candidate set and their similarity to the target molecule.
no code implementations • 18 Nov 2021 • Apurva Kalia, Dilip Krishnan, Soha Hassoun
Accurately predicting the likelihood of interaction between two objects (compound-protein sequence, user-item, author-paper, etc.)
no code implementations • 29 Sep 2021 • Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
In this work, we propose an adversarial training based modification to the current state-of-the-arts link prediction method to solve this problem.
1 code implementation • 28 Sep 2021 • Xinmeng Li, Li-Ping Liu, Soha Hassoun
We show that each of our auxiliary tasks boosts learning of the embedding vectors, and that contrastive learning using Boost-RS outperforms attribute concatenation and multi-label learning.
1 code implementation • 4 Jun 2021 • Linfeng Liu, Michael C. Hughes, Soha Hassoun, Li-Ping Liu
In this work, we propose a new model, Stochastic Iterative Graph MAtching (SIGMA), to address the graph matching problem.
no code implementations • 9 Oct 2020 • Hao Zhu, LiPing Liu, Soha Hassoun
We compare our results to NEIMS, a neural network model that utilizes molecular fingerprints as inputs.
1 code implementation • 18 Feb 2020 • Gian Marco Visani, Michael C. Hughes, Soha Hassoun
Some interactions are attributed to natural selection and involve the enzyme's natural substrates.
1 code implementation • 9 Feb 2020 • Julie Jiang, Li-Ping Liu, Soha Hassoun
We develop in this work a technique, Enzymatic Link Prediction (ELP), for predicting the likelihood of an enzymatic transformation between two molecules.
1 code implementation • 12 Dec 2019 • Ramtin Hosseini, Neda Hassanpour, Li-Ping Liu, Soha Hassoun
Annotation results are in agreement to those obtained using other tools that utilize additional information in the form of spectral signatures.