An End-to-End Deep Learning Architecture for Graph Classification
Neural networks are typically designed to deal with data in tensor forms. In this paper, we propose a novel neural network architecture accepting graphs of arbitrary structure. ...
Publications
2 shownLeveraging Retrieval-Augmented Generation to Accelerate Discoveries on Mealworm Larvae and Plastic Degradation
Large language models (LLMs) are transforming broad research areas, yet concerns about their trustworthiness remain. This study explored the use of Retrieval-Augmented Generatio...
Frequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 2
- Citations
- 1,440
- Institution
- Washington University in St. Louis
External Links
Identifiers
- ORCID
- 0000-0002-3704-4432
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.