Publications
Author names in navy indicate me. ★ denotes equal contribution. Full list also available on my Google Scholar.
2026
TopoFormer: Topology Meets Attention for Graph Learning
International Conference on Learning Representations (ICLR), 2026.
Identification of Molecular Compounds Targeting Bacterial Propionate Metabolism with Topological Machine Learning
Journal of Molecular Graphics and Modelling, Volume 144, 109287, 2026.
2025
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
Transactions on Machine Learning Research (TMLR), 2025.
TopER: Topological Embeddings in Graph Representation Learning
Advances in Neural Information Processing Systems (NeurIPS), 2025.
PROXI: Challenging the GNNs for Link Prediction
Transactions on Machine Learning Research (TMLR), 2025.
2023
A Numerical Analysis of Poincaré Chaos
Discontinuity, Nonlinearity, and Complexity, 12(1), 183–195, 2023.
2022
Strange Non-Chaotic Attractors with Unpredictable Trajectories
Journal of Vibration Testing and System Dynamics, 6(3), 317–327, 2022.
2020
Submitted / In Preparation
DuoLink: A Dual Perspective on Link Prediction via Line Graphs
Manuscript in preparation, 2026.