Geometric Graph Neural Networks

Mathematical Principles of Graph Neural Networks

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Graph Deep Learning (GDL) has been accelerating its development over the years. Many real-life problems have made GDL a universal tool, showing great potential in areas such as social media, drug discovery, chip implantation, prediction, and bioinformatics. This article will provide a detailed review and explanation of popular Graph Neural Networks (GNN) and their mathematical … Read more

The Cornerstone of AI4Science: Comprehensive Review of Geometric Graph Neural Networks

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The Cornerstone of AI4Science: Comprehensive Review of Geometric Graph Neural Networks

Introduction Recently, Renmin University of China, in collaboration with Tencent AI Lab, Tsinghua University, Stanford, and other institutions, published a review paper: “A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.” This review systematically organizes the relevant literature on geometric graph neural networks based on a brief introduction to theoretical knowledge such … Read more