Giuseppe Futia

Hello, happy to share my new Medium article focused on graph feature extraction using NetworkX. Enjoy! https://towardsdatascience.com/how-to-extract-graph-based-features-for-machine-learning-with-networkx-302fc851955e

Hello! I am excited to share my new Medium article entitled: “Leveraging AI Synergies for Named Entity Disambiguation.” The article describes how to harness the synergy between #LLMs, #KnowledgeGraphs, and #ontologies to pave the way for enhanced NED systems in biomedicine. https://medium.com/towards-data-science/leveraging-ai-synergies-for-named-entity-disambiguation-033aede7c9a0

Do you want to know the "meaning" of graph embeddings? I recently wrote a Medium article that discusses this topic from different points of view, including:

https://towardsdatascience.com/graph-representation-learning-network-embeddings-d1162625c52b Enjoy!

Hello guys! I have the pleasure to share with you my hands-on tutorial on Graph Neural Networks and Knowledge Graphs. A basic implementation is available in Numpy. Enjoy! https://towardsdatascience.com/graph-neural-networks-for-multi-relational-data-27968a2ed143

Thank you, it was a pleasure! Look forward to participating in the workshop and join the conference!

Thank you, Ellie! I have a blog on Medium in which I share ideas and contents on the topics discussed during the chat: https://medium.com/@giuseppefutia. You can also follow me on Twitter: https://twitter.com/giuseppe_futia and Linkedin: https://it.linkedin.com/in/giuseppefutia

We plan also to suggest interesting journal for the authors

Yes, we started to test recommendation functionalities on Geranium. Combining KGs and GNNs the tool can suggest, for instance, researchers that have never been co-authors, but also interesting topics that are not yet covered from the researcher

Sure: https://github.com/TellMeFirst/tellmefirst. It is currently written in Java, but I am developing a Python version of the system

Well, we used this technology to improve the automatic classification of publications at our University. And more broadly, in the spirit of an open Internet, we decided to release the source code as open-source, and exploiting open content repositories for the training, including Wikipedia and DBpedia