Click on the above“Beginner’s Visual Learning”, choose to add Star or Pin. Essential content delivered to you first-hand. Basic Knowledge The Graph Convolutional Network (GCN) is a type of generalized neural network structure based on graph structures that has gained widespread attention and research from scholars in recent years due to its unique computational capabilities. … Read more
PanChuang AI Share Source | Extreme City Platform Author | whistle@Zhihu Source | https://zhuanlan.zhihu.com/p/536489997 Reprinted from | Machine Learning Algorithms and Natural Language Processing Introduction Why Use Transformers on Graphs? Briefly mention the benefits brought by Graph Transformers (GT): Can capture long-range dependencies Mitigates over-smoothing and over-squashing phenomena GT can even integrate GNN and frequency … Read more
This article is about 10,000 words long, and it is recommended to read for over 10 minutes. This article introduces graph FMs and provides examples of their use. Foundation models in language, vision, and audio have become one of the main research topics in machine learning for 2024, while FMs targeting graph-structured data are somewhat … Read more
Interview Guest | Yang Hongxia Author | Cai Fangfang Editor | Chen Si AI Frontline Guide: Graph Neural Networks (GNN) have undoubtedly become the “new darling” of AI in 2019. However, due to the inherent complexity of training GNNs, supporting efficient and scalable parallel computation is very challenging. Currently, GNN platforms have also become a … Read more