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

arXiv:2404.14928v1 Announce Type: new
Abstract: 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 graph structures. Recently, LLMs have demonstrated unprecedented capabilities in language tasks and are widely adopted in a variety of applications such as computer vision and recommender systems. This …

abstract arxiv cs.ai cs.cl cs.lg cs.si deep learning discovery domains gnns graph graph neural networks graphs knowledge knowledge graphs language language models large language large language models llms machine machine learning networks neural networks relationships representation role social social networks type