41 citations · 148 across the 22 of their papers we have counts for
6 papers · 1 filter
Neuro-Symbolic Recommendation Model based on Logic Query
Maonian Wu, Bang Chen, Shaojun Zhu +3
A recommendation system assists users in finding items that are relevant to them. Existing recommendation models are primarily based on predicting relationships between users and i…
Imputing Brain Measurements Across Data Sets via Graph Neural Networks
Yixin Wang, Wei Peng, Susan F. Tapert +2
Publicly available data sets of structural MRIs might not contain specific measurements of brain Regions of Interests (ROIs) that are important for training machine learning models…
Generative AI for Medical Imaging: extending the MONAI Framework
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot +21
Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to he…
Neural-Symbolic Recommendation with Graph-Enhanced Information
Bang Chen, Wei Peng, Maonian Wu +2
The recommendation system is not only a problem of inductive statistics from data but also a cognitive task that requires reasoning ability. The most advanced graph neural networks…
Generation of 3D Molecules in Pockets via Language Model
Wei Feng, Lvwei Wang, Zaiyun Lin +9
Generative models for molecules based on sequential line notation (e.g. SMILES) or graph representation have attracted an increasing interest in the field of structure-based drug d…
Learning Homographic Disambiguation Representation for Neural Machine Translation
Weixuan Wang, Wei Peng, Qun Liu
Homographs, words with the same spelling but different meanings, remain challenging in Neural Machine Translation (NMT). While recent works leverage various word embedding approach…