Welcome to the OpAL Lab

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

News

14 October 2023

New paper: Local Graph Clustering with Noisy Labels.

21 September 2023

Our paper Optimality of Message-Passing Architectures for Sparse Graphs was accepted at NeurIPS 2023.

15 Aug 2023

Our paper Graph Attention Retrospective is now live at JMLR.

29 May 2023

Our paper Graph Attention Retrospective was accepted at JMLR.

18 May 2023

New paper: Optimality of Message-Passing Architectures for Sparse Graphs.

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