Giuseppe FutiainTowards Data ScienceHow to Extract Graph-based Features for Machine Learning with NetworkXA step-by-step guide using PythonSep 31Sep 31
Giuseppe FutiainTowards Data ScienceThe Expressive Power of GNNs — The Message Passing Neural NetworkIntroducing the MPNN architecture with PyTorch Geometric to connect the dots for a theoretical analysis of Graph Neural Network modelsSep 21Sep 21
Giuseppe FutiainTowards Data ScienceHow to Represent Graph Structures — From NumPy to NetworkXLet’s understand how to create and visualize network information with PythonAug 143Aug 143
Giuseppe FutiainTowards Data ScienceLeveraging AI Synergies for Named Entity DisambiguationA perspective for combining LLMs, Ontologies, and Knowledge Graphs in the Biomedical DomainApr 22Apr 22
Giuseppe FutiainTowards Data ScienceThe Expressive Power of GNNs — Introduction and FoundationsConnecting the dots for a theoretical analysis of Graph Neural Network modelsFeb 211Feb 211
Giuseppe FutiaBuilding KGs with LLMs — The Use Case of the Rockefeller Archive CenterHow we used GPT to perform Named Entity Recognition, Relation Extraction, and Entity Resolution on typewritten documentsFeb 11Feb 11
Giuseppe FutiaA Knowledge Graph-based Perspective on Named Entity DisambiguationAnd how to apply it to the healthcare domainAug 4, 2022Aug 4, 2022
Giuseppe FutiainTowards Data ScienceKnowledge Graph PerspectivesBuilding bridges from the Resource Description Framework to Labeled Property GraphsNov 4, 20212Nov 4, 20212
Giuseppe FutiainTowards Data ScienceGraph Representation Learning — Objective Functions and Encoders (Part 3)Let’s understand how to optimize GRL models and their ability to incorporate different network featuresNov 3, 2021Nov 3, 2021
Giuseppe FutiainTowards Data ScienceGraph Representation Learning — The Encoder-Decoder Model (Part 2)May 26, 2021May 26, 2021