activity
20132020
most citedTriple2Vec: Learning Triple Embeddings from Knowledge Graphs

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

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.SI2020

Toward Edge-Centric Network Embeddings

Giuseppe Pirrò

Existing network embedding approaches tackle the problem of learning low-dimensional node representations. However, networks can also be seen in the light of edges interlinking pai…

physics.optics2019

A hierarchical approach for modelling X-ray beamlines. Application to a coherent beamline

Manuel Sanchez del Rio, Rafael Celestre, Mark Glass +7

We consider different approaches to simulate a modern X-ray beamline. Several methodologies with increasing complexity are applied to discuss the relevant parameters that quantify…

cs.AI20193 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…

cs.DB20152 cited

A Context-Based Semantics for SPARQL Property Paths over the Web (Extended Version)

Olaf Hartig, Giuseppe Pirro

As of today, there exists no standard language for querying Linked Data on the Web, where navigation across distributed data sources is a key feature. A natural candidate seems to…

cs.DL2013

Web Maps and Their Algebra

Valeria Fionda, Claudio Gutierrez, Giuseppe Pirró

A map is an abstract visual representation of a region, taken from a given space, usually designed for final human consumption. Traditional cartography focuses on the mapping of Eu…