Giuseppe Futia – Medium

Giuseppe Futia

Pinned

Building KGs with LLMs — The Use Case of the Rockefeller Archive Center

How we used GPT to perform Named Entity Recognition, Relation Extraction, and Entity Resolution on typewritten documents

Feb 1, 2024

Building KGs with LLMs — The Use Case of the Rockefeller Archive Center

Feb 1, 2024

Published in
AI Advances

The Expressive Power of GNNs — Invariance and Equivariance

Exploring the Message Passing Neural Networks (MPNNs) through the lens of symmetry and flexibility

Feb 7

The Expressive Power of GNNs — Invariance and Equivariance

Feb 7

Published in
TDS Archive

Ontology Reasoning on Biomedical Data with Neo4j

Leveraging the Neosemantics plugin to build a Knowledge Graph on top of the Human Phenotype Ontology (HPO)

Jan 22

Ontology Reasoning on Biomedical Data with Neo4j

Jan 22

Published in
TDS Archive

Ontology Reasoning in Knowledge Graphs

A Python hands-on guide to understanding the principles of generating new knowledge by following logical processes

Nov 15, 2024

Ontology Reasoning in Knowledge Graphs

Nov 15, 2024

Published in
TDS Archive

Towards Named Entity Disambiguation with Graph Embeddings

How to distill knowledge from biomedical text combining pre-trained language models with graph machine learning

Sep 25, 2024

Towards Named Entity Disambiguation with Graph Embeddings

Sep 25, 2024

Published in
TDS Archive

How to Extract Graph-based Features for Machine Learning with NetworkX

A step-by-step guide using Python

Sep 3, 2024

How to Extract Graph-based Features for Machine Learning with NetworkX

Sep 3, 2024

Published in
TDS Archive

The Expressive Power of GNNs — The Message Passing Neural Network

Introducing the MPNN architecture with PyTorch Geometric to connect the dots for a theoretical analysis of Graph Neural Network models

Sep 2, 2024

The Expressive Power of GNNs — The Message Passing Neural Network

Sep 2, 2024

Published in
TDS Archive

How to Represent Graph Structures — From NumPy to NetworkX

Let’s understand how to create and visualize network information with Python

Aug 14, 2024

How to Represent Graph Structures — From NumPy to NetworkX

Aug 14, 2024

Published in
TDS Archive

Leveraging AI Synergies for Named Entity Disambiguation

A perspective for combining LLMs, Ontologies, and Knowledge Graphs in the Biomedical Domain

Apr 22, 2024

Leveraging AI Synergies for Named Entity Disambiguation

Apr 22, 2024

Published in
TDS Archive

The Expressive Power of GNNs — Introduction and Foundations

Connecting the dots for a theoretical analysis of Graph Neural Network models

Feb 21, 2024

The Expressive Power of GNNs — Introduction and Foundations

Feb 21, 2024

Giuseppe Futia

Giuseppe Futia

AI Consultant and Educator | Ph.D. at Politecnico di Torino (Italy). Passionate about Knowledge Graphs, LLMs, and Graph Neural Networks.

Following

Help
Status
About
Careers
Press
Blog
Privacy
Rules
Terms
Text to speech