66 citations · 174 across the 8 of their papers we have counts for
13 papers
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Yu Chen, Ananya Subburathinam, Ching-Hua Chen +1
Food recommendation has become an important means to help guide users to adopt healthy dietary habits. Previous works on food recommendation either i) fail to consider users' expli…
Can a Fruit Fly Learn Word Embeddings?
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover +4
The mushroom body of the fruit fly brain is one of the best studied systems in neuroscience. At its core it consists of a population of Kenyon cells, which receive inputs from mult…
MALOnt: An Ontology for Malware Threat Intelligence
Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki +2
Malware threat intelligence uncovers deep information about malware, threat actors, and their tactics, Indicators of Compromise(IoC), and vulnerabilities in different platforms fro…
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
In this paper, we propose an end-to-end graph learning framework, namely Iterative Deep Graph Learning (IDGL), for jointly and iteratively learning graph structure and graph embedd…
Personal Health Knowledge Graphs for Patients
Nidhi Rastogi, Mohammed J. Zaki
Existing patient data analytics platforms fail to incorporate information that has context, is personal, and topical to patients. For a recommendation system to give a suitable res…
A Framework for Generating Explanations from Temporal Personal Health Data
Jonathan J. Harris, Ching-Hua Chen, Mohammed J. Zaki
Whereas it has become easier for individuals to track their personal health data (e.g., heart rate, step count, food log), there is still a wide chasm between the collection of dat…