The Optimization, Analytics and Learning (OpAL) Lab is a research group at the Cheriton School of Computer Science. Our work is focused on machine learning on graphs, which is about making predictions using multi-modal datasets that combine features and relational information among entities.
We are located at the University of Waterloo, a vibrant technological hub with Concept, Velocity and Google around the block. We are also part of the Scientific Computation Group.
We are grateful for funding from the University of Waterloo and NSERC
New paper: Simulation of Graph Algorithms with Looped Transformers.
16 January 2024Our paper Local Graph Clustering with Noisy Labels was accepted at ICLR 2024.
5 January 2024Aseem Baranwal is one of the five students that got the Cheriton Scholarship for Winter 2024. That's 10k each year for 2 years.
14 October 2023New paper: Local Graph Clustering with Noisy Labels.
21 September 2023Our paper Optimality of Message-Passing Architectures for Sparse Graphs was accepted at NeurIPS 2023.