1 citations · 1 across the 5 of their papers we have counts for
6 papers
DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning
Thomas Jean-Michel Valentin, Pierre Genev{è}s, Luisa Sophie Werner +3
Probabilistic Neurosymbolic Learning (PNL) combines neural predictions with symbolic reasoning, enabling end-to-end learning from final-output supervision without labels for interm…
Schema-Based Query Optimisation for Graph Databases
Chandan Sharma, Pierre Genevès, Nils Gesbert +1
Recursive graph queries are increasingly popular for extracting information from interconnected data found in various domains such as social networks, life sciences, and business a…
Efficient Enumeration of Recursive Plans in Transformation-based Query Optimizers
Amela Fejza, Pierre Genevès, Nabil Layaïda
Query optimizers built on the transformation-based Volcano/Cascades framework are used in many database systems. Transformations proposed earlier on the logical query dag (LQDAG) d…
Knowledge Enhanced Graph Neural Networks for Graph Completion
Luisa Werner, Nabil Layaïda, Pierre Genevès +1
Graph data is omnipresent and has a wide variety of applications, such as in natural science, social networks, or the semantic web. However, while being rich in information, graphs…
Distributed Evaluation of Graph Queries using Recursive Relational Algebra
Sarah Chlyah, Pierre Genevès, Nabil Layaïda
We present a system called Dist--RA for the distributed evaluation of recursive graph queries. Dist--RA builds on the recursive relational algebra and extends it with evaluat…
On the Count of Trees
Everardo Barcenas, Pierre Geneves, Nabil Layaida +1
Regular tree grammars and regular path expressions constitute core constructs widely used in programming languages and type systems. Nevertheless, there has been little research so…