27 citations · 36 across the 9 of their papers we have counts for
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cs.AI2026
The Graph Language: How Knowledge Graphs Speak to Large Language Models
Giuseppe Pirrò
Large Language Models (LLMs) excel at reasoning but benefit from grounding provided by Knowledge Graphs (KGs). However, integrating these paradigms is challenging. We introduce GRA…
cs.AI2020
Fact Checking via Path Embedding and Aggregation
Giuseppe Pirrò
Knowledge graphs (KGs) are a useful source of background knowledge to (dis)prove facts of the form (s, p, o). Finding paths between s and o is the cornerstone of several fact-check…
cs.AI2019★ 3 cited
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs
Valeria Fionda, Giuseppe Pirró
Graph embedding techniques allow to learn high-quality feature vectors from graph structures and are useful in a variety of tasks, from node classification to clustering. Existing…