Towards Data-centric Machine Learning on Directed Graphs: a Survey

H Sun, X Li, D Su, J Han, RH Li, G Wang - arXiv preprint arXiv:2412.01849, 2024 - arxiv.org
In recent years, Graph Neural Networks (GNNs) have made significant advances in
processing structured data. However, most of them primarily adopted a model-centric …

AWESOME: Analysis framework for WEb3 SOcial MEdia

L Ricci, B Guidi, A Michienzi, A Tagarelli… - Proceedings of the 4th …, 2024 - dl.acm.org
Web3 describes the next generation of the Internet, built on top of various technologies, such
as Blockchain Technology, Semantic Web, etc. Web3 proposal claims a vision of the Internet …

[PDF][PDF] Link prediction heuristics for temporal graph benchmark

M Dileo, M Zignani - esann.org
Link prediction is one of the most well-known and studied problems in graph machine
learning, successfully applied in different settings, such as predicting network evolution in …