81 citations · 127 across the 22 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 3 cited
GAN Ensemble for Anomaly Detection
Xu Han, Xiaohui Chen, Li-Ping Liu
When formulated as an unsupervised learning problem, anomaly detection often requires a model to learn the distribution of normal data. Previous works apply Generative Adversarial…
cs.LG2020★ 11 cited
Using Graph Neural Networks for Mass Spectrometry Prediction
Hao Zhu, Liping Liu, Soha Hassoun
Detecting and quantifying products of cellular metabolism using Mass Spectrometry (MS) has already shown great promise in many biological and biomedical applications. The biggest c…
q-bio.MN2020★ 1 cited
Learning graph representations of biochemical networks and its application to enzymatic link prediction
Julie Jiang, Li-Ping Liu, Soha Hassoun
The complete characterization of enzymatic activities between molecules remains incomplete, hindering biological engineering and limiting biological discovery. We develop in this w…