Projects per year
Graph neural networks (GNNs) have recently grown in popularity in the field of artificial intelligence (AI) due to their unique ability to ingest relatively unstructured data types as input data. Although some elements of the GNN architecture are conceptually similar in operation to traditional neural networks (and neural network variants), other elements represent a departure from traditional deep learning techniques. This tutorial exposes the power and novelty of GNNs to AI practitioners by collating and presenting details regarding the motivations, concepts, mathematics, and applications of the most common and performant variants of GNNs. Importantly, we present this tutorial concisely, alongside practical examples, thus providing a practical and accessible tutorial on the topic of GNNs.
|Number of pages||35|
|Journal||ACM Computing Surveys|
|Publication status||Published - 14 Sep 2022|
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- 2 Finished
Advanced Computer Vision Techniques for Marine Ecology
Bennamoun, M., Boussaid, F., Kendrick, G. & Fisher, R.
1/01/15 → 31/12/21
Advanced 3D Computer Vision Algorithms for 'Find and Grasp' Future Robots
1/01/15 → 31/12/20