KDD2023

Graph Neural Networks: Foundation, Frontiers and Applications

Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo

被引用 13 次

摘要

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the recent years. Graph neural networks, also known as deep learning on graphs, graph representation learning, or geometric deep learning, have become one of the fastest-growing research topics in machine learning, especially deep learning. However, as the field rapidly grows, it has been extremely challenging to gain a global perspective of the developments of GNNs. Therefore, we feel the urgency to bridge the above gap and have a comprehensive tutorial on this fast-growing yet challenging topic.