AI trends in 2024: Graph Neural Networks

Graph Neural Networks (GNNs) have become increasingly important in the field of AI, with companies like Uber, Google, Alibaba, Pinterest, and Twitter shifting to GNN-based approaches. GNNs are designed for handling graph data, which is present in various systems consisting of entities and their relationships. Graph machine learning has seen a significant rise within the research community, with an exponential growth of published research involving GNNs. Some key applications of GNNs include recommendation systems, traffic predictions, weather forecasting, data mining, materials science, drug discovery, and protein design. The use of GNNs in these diverse domains demonstrates their potential to revolutionize AI in the coming years.