Graphs Unveiled: Graph Neural Networks and Graph Generation

arXiv:2403.13849v1 Announce Type: new
Abstract: One of the hot topics in machine learning is the field of GNN. The complexity of graph data has imposed significant challenges on existing machine learning algorithms. Recently, many studies on extending deep learning approaches for graph data have emerged. This paper represents a survey, providing a comprehensive overview of Graph Neural Networks (GNNs). We discuss the applications of graph neural networks across various domains. Finally, we present an advanced field in GNNs: graph generation.

abstract algorithms arxiv challenges complexity cs.ai cs.lg data deep learning gnn graph graph data graph neural networks graphs hot machine machine learning machine learning algorithms networks neural networks paper studies survey topics type