1 code implementation • 10 Jun 2024 • Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm has the following desirable properties: (a) Easy to use: it can perform graph construction and model training and inference with just a single command; (b) Expert-friendly: GraphStorm contains many advanced GML modeling techniques to handle complex graph data and improve model performance; (c) Scalable: every component in GraphStorm can operate on graphs with billions of nodes and can scale model training and inference to different hardware without changing any code.
1 code implementation • 16 Jun 2021 • Alejandro Mottini, Jaime Lorenzo-Trueba, Sri Vishnu Kumar Karlapati, Thomas Drugman
Voice Conversion (VC) is a technique that aims to transform the non-linguistic information of a source utterance to change the perceived identity of the speaker.
no code implementations • 6 Dec 2019 • Alejandro Mottini, Amber Roy Chowdhury
Online results show that models trained on any of the considered labels outperform a heuristic method, presenting a positive real-world impact on user satisfaction.
no code implementations • 17 Jul 2018 • Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost
Results show that the generated data matches well with the real PNRs without memorizing them, and that it can be used to train models for real business applications.
no code implementations • 15 Mar 2018 • Alejandro Mottini, Rodrigo Acuna-Agost
Experimental results show that the proposed model outperforms the traditional MNL model on several metrics.