no code implementations • 7 Mar 2024 • Obaid Ullah Ahmad, Anwar Said, Mudassir Shabbir, Waseem Abbas, Xenofon Koutsoukos
In this paper, we study the problem of unsupervised graph representation learning by harnessing the control properties of dynamical networks defined on graphs.
1 code implementation • 10 Oct 2023 • Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon Koutsoukos
The superior performance of GNNs often correlates with the availability and quality of node-level features in the input networks.
no code implementations • 23 Aug 2023 • Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, Xenofon Koutsoukos
By laying a solid foundation and fostering continued progress, this survey seeks to inspire researchers to further advance the field of graph unlearning, thereby instilling confidence in the ethical growth of AI systems and reinforcing the responsible application of machine learning techniques in various domains.
1 code implementation • NeurIPS 2023 • Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos
We delve deeply into the dataset generation search space by crafting 35 datasets that encompass static and dynamic brain connectivity, running in excess of 15 baseline methods for benchmarking.
no code implementations • 23 May 2023 • Ammar Ahmed, Anwar Said, Mudassir Shabbir, Xenofon Koutsoukos
However, this task is rather challenging owing to the absence of reliable and adequately managed datasets and learning models.