In Web3 social platforms, ie social web applications that rely on blockchain technology to
support their functionalities, interactions among users are usually multimodal, from common …

In many scientific fields, complex systems are characterized by a multitude of heterogeneous
interactions/relationships that are challenging to model. Multilayer graphs constitute …

Link prediction, which aims to infer missing edges or predict future edges based on currently
observed graph connections, has emerged as a powerful technique for diverse applications …

Artificial intelligence (AI) is transforming industries and decision-making processes, but
concerns about transparency and fairness have increased. Explainable artificial intelligence …

Dynamic real-world networks, encompassing both digital and physical realms, inherently
display complex spatio-temporal phenomena. A common manifestation is the propagation of …

Product development is the process of creating and bringing a new or improved product to
market. Formulation trials constitute a crucial stage in product development, often involving …

In recent years, graph neural networks (GNNs) have become a popular tool for solving
various problems over graphs. In these models, the link structure of the graph is typically …

This work addresses the challenge of representing value flows within Decentralized Finance
(DeFi), where tracking value transfers across multiple protocols and blockchains is …

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 …

Product development is the process of creating and bringing a new or improved product to
market. Formulation trials constitute a crucial stage in product development, often involving …