Improving the generalizability of protein-ligand binding predictions with AI-Bind
Chatterjee, Ayan, et al. "Improving the generalizability of protein-ligand binding predictions with AI-Bind." (2023).
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
Chatterjee, Ayan. "Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction." (2023).
Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes
Chatterjee, A., Walters, R., Menichetti, G., & Eliassi-Rad, T. (2023). Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes. Temporal Graph Learning Workshop @ NeurIPS 2023.
Generating Human Understandable Explanations for Node Embeddings
Shafi, Z., Chatterjee, A., & Eliassi-Rad, T. (2024). Generating Human Understandable Explanations for Node Embeddings. arXiv:2406.07642.
Representation Learning of Human Disease Mechanisms for a Foundation Model in Rare and Common Diseases
Ravandi, B., Mowrey, W. R., Chatterjee, A., Haddadi, P., Abdelmessih, M., et al. (2024). Representation Learning of Human Disease Mechanisms for a Foundation Model in Rare and Common Diseases. bioRxiv, 2024.11.19.624381.
SIENNA: Lightweight Generalizable Machine Learning Platform for Brain Tumor Diagnostics
Sunil, S., Rajeev, R. S., Chatterjee, A., Pilitsis, J., Mukherjee, A., & Paluh, J. L. (2024). SIENNA: Lightweight Generalizable Machine Learning Platform for Brain Tumor Diagnostics. medRxiv, 2024.04.03.24305210.
Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction
Chatterjee, Ayan, et al. "Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction."
Transfer Learning for Temporal Link Prediction
Chatterjee, A., Ikica, B., Ravandi, B., & Palowitch, J. (2025). Transfer Learning for Temporal Link Prediction. 2025 International Joint Conference on Neural Networks (IJCNN), 1-8.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams