May 11, 2024 In Vienna to present our spotlight paper “A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs” (with Thien Le and Stefanie Jegelka) at ICLR’24.
Apr 30, 2024 Our papers on manifold neural networks (with Zhiyang Wang and Alejandro Ribeiro) were accepted to the IEEE Trasactions in Signal Processing. Check them out below!
Apr 14, 2024 In Seoul to present our paper “A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs” (with Teresa Huang and Soledad Villar) at ICASSP’24.
Dec 9, 2023 Invited talk “Machine Learning on Large-Scale Graphs: Graphon NNs and Learning by Transference” at the Canadian Mathematical Society Winter Meeting.
Nov 16, 2023 Invited long talk “Large-Scale Graph Machine Learning: Tradeoffs, Guarantees and Dynamics” at DeepMath 2023.
Oct 17, 2023 New preprint A Local Graph Limits Perspective on Sampling-Based GNNs with Yeganeh and Amin.