Zobrazeno 1 - 10
of 2 478
pro vyhledávání: '"Bonifati, A."'
Connectivity queries, which check whether vertices belong to the same connected component, are fundamental in graph computations. Sliding window connectivity processes these queries over sliding windows, facilitating real-time streaming graph analyti
Externí odkaz:
http://arxiv.org/abs/2410.00884
Temporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are modeled as link streams. Community detection is an essential network analys
Externí odkaz:
http://arxiv.org/abs/2408.16877
Graph databases are gaining momentum thanks to the flexibility and expressiveness of their data models and query languages. A standardization activity driven by the ISO/IEC standardization body is also ongoing and has already conducted to the specifi
Externí odkaz:
http://arxiv.org/abs/2407.04823
In this paper, we study a declarative framework for specifying transformations of property graphs. In order to express such transformations, we leverage queries formulated in the Graph Pattern Calculus (GPC), which is an abstraction of the common cor
Externí odkaz:
http://arxiv.org/abs/2406.13062
We study index-based processing for connectivity queries within sliding windows on streaming graphs. These queries, which determine whether two vertices belong to the same connected component, are fundamental operations in real-time graph data proces
Externí odkaz:
http://arxiv.org/abs/2406.06754
We introduce ADBL2, an assisted debate builder tool. It is based on the capability of large language models to generalise and perform relation-based argument mining in a wide-variety of domains. It is the first open-source tool that leverages relatio
Externí odkaz:
http://arxiv.org/abs/2405.13015
We survey graph reachability indexing techniques for efficient processing of graph reachability queries in two types of popular graph models: plain graphs and edge-labeled graphs. Reachability queries are fundamental in graph processing, and reachabi
Externí odkaz:
http://arxiv.org/abs/2311.03542
Autor:
Pan, Jeff Z., Razniewski, Simon, Kalo, Jan-Christoph, Singhania, Sneha, Chen, Jiaoyan, Dietze, Stefan, Jabeen, Hajira, Omeliyanenko, Janna, Zhang, Wen, Lissandrini, Matteo, Biswas, Russa, de Melo, Gerard, Bonifati, Angela, Vakaj, Edlira, Dragoni, Mauro, Graux, Damien
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renewed focus on the hybrid representation of both explicit knowledge and p
Externí odkaz:
http://arxiv.org/abs/2308.06374
Autor:
Amer-Yahia, Sihem, Bonifati, Angela, Chen, Lei, Li, Guoliang, Shim, Kyuseok, Xu, Jianliang, Yang, Xiaochun
This discussion was conducted at a recent panel at the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), held April 17-20, 2023 in Tianjin, China. The title of the panel was "What does LLM (ChatGPT) Bring to D
Externí odkaz:
http://arxiv.org/abs/2306.01388
Autor:
Diego Orsini, Chiara Assorgi, Claudio Bonifati, Norma Cameli, Dario Graceffa, Luca Potestio, Matteo Megna
Publikováno v:
Journal of Dermatological Treatment, Vol 35, Iss 1 (2024)
AbstractBackground The recent introduction of biological drugs specifically targeting the interleukins involved in psoriasis pathogenesis revolutionized the therapeutic scenario of moderate to severe forms of psoriasis. Among these, risankizumab, an
Externí odkaz:
https://doaj.org/article/aab4dd33cb954318b975b155cc0a5f99
