深度图表示学习的综合调查（英文版）

英文标题：A Comprehensive Survey on Deep Graph Representation Learning中文摘要：本篇综述了目前深度图表示学习算法的最新研究进展，提出了现有技术的新分类法，并探讨了深度图表示学习的实际应用、前景及挑战方向。英文摘要：Graph representation learning aims to effectively encode high-dimensionalsparse graph-structured data into low-dimensional dense vectors, which is afundamental task that has been widely studied in a range of fields, includingmachine learning and data mining. Classic graph embedding methods follow thebasic idea that the embedding vectors of interconnected nodes