| 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. |