Web Graph

Web graphs, representing the interconnectedness of web pages or other entities, are a crucial area of research aiming to understand and manage their complex structure and evolution. Current research focuses on developing efficient summarization techniques, often employing neural networks like Graph Neural Networks (GNNs) to handle the massive scale and heterogeneity of these graphs, as well as addressing the challenges posed by temporal changes and noisy data. These efforts are significant for improving information retrieval, link analysis, and the design of more robust and efficient web-based systems, with applications extending to other complex network structures like biological networks.