Graph Machine Learning in the Era of Large Language Models (LLMs)

ArXi:2404.14928v3 Announce Type: replace-cross Graphs play an important role in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. With the advent of deep learning, Graph Neural Networks (GNNs) have emerged as a cornerstone in Graph Machine Learning (Graph ML), facilitating the representation and processing of graphs. Recently, LLMs have nstrated unprecedented capabilities in language tasks and are widely adopted in a variety of applications such as computer vision and recommender systems.