IDSAI Seminar with Petar Veličković, University of Cambridge

Digital Futures is a highly interdisciplinary network which operates across the whole range of the University’s digital research.The aim of Digital Futures is to present a coherent overview of our digital research activity to external stakeholders and bring together our research communities to explore new research areas and address strategic opportunities.We group our activity around themes that encapsulate our broad research capabilities and the challenges to which these can be applied. These themes do not operate as self-contained entities; however, there is considerable synergy and overlap between them, and many of our academics are involved in a number of capability and challenge themes.

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The Institute of Data Science and AI seminar series showcases innovative research in data science and AI from across the world.

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The Institute for Data Science hosts regular seminars featuring leading researchers presenting talks on their latest advances in data science and artificial intelligence.

<h2>Decoupling the input graph and the computational graph: The most important unsolved problem in graph representation learning</h2>Abstract: When deploying graph neural networks, we often make a seemingly innocent assumption: that the input graph we are given is the ground-truth. However, as my talk will unpack, this is often not the case: even when the graphs are perfectly correct, they may be severely suboptimal for completing the task at hand. This will introduce us to a rich and vibrant area of graph rewiring, which is experiencing a renaissance in recent times. I will discuss some of the most representative works, including two of our own contributions <a href="https://arxiv.org/abs/2210.02997" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">(https://arxiv.org/abs/2210.02997</a>, <a href="https://arxiv.org/abs/2306.03589" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://arxiv.org/abs/2306.03589</a>), one of which won the Best Paper Award at the Graph Learning Frontiers Workshop at NeurIPS'22.Petar Veličković, Staff Research Scientist, Google DeepMind and Affiliated Lectureship at the University of CambridgePetar Veličković is a Research Scientist at DeepMind. He holds a PhD degree from the University of Cambridge (obtained under the supervision of Pietro Liò), with prior collaborations at Nokia Bell Labs and Mila. His current research interests broadly involve devising neural network architectures that operate on nontrivially structured data (such as graphs), and their applications in algorithmic reasoning and computational biology. Petar has published his work in these areas at both machine learning venues (ICLR, NeurIPS-W, ICML-W) and biomedical venues and journals (Bioinformatics, PLOS One, JCB, PervasiveHealth). In particular, he is the first author of Graph Attention Networks, a popular convolutional layer for graphs, and Deep Graph Infomax, a scalable local/global unsupervised learning pipeline for graphs. His research has been featured in media outlets such as ZDNet. Additionally, he has co-organised workshops on Graph Representation Learning at ICLR 2019 and NeurIPS 2019.Agenda:13:45 - Registration and Arrival14:00 - Welcome and introductions with Dr Julia Handl, Professor of Decision Sciences at the University of Manchester14:10 - Petar Veličković, Staff Research Scientist, Google DeepMind and Affiliated Lectureship at the University of Cambridge (Graph Neural Networks / Geometric deep learning.)14:45 - Q&A 15:00 - Networking15:30 - Event close This seminar is hosted in partnership with <a href="https://www.id-manchester.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">ID Manchester</a> and <a href="https://ticmanchester.org/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Turing Innovation Catalyst</a> as part of the official AI Fringe.The AI Fringe is a series of events hosted across London and the UK to complement the UK Government’s AI Safety Summit by bringing a broad and diverse range of voices into the conversation. It will expand discussion around safe and responsible AI beyond the AI Safety Summit’s focus on Frontier AI safety.

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