2 papers
cs.LG2023
Enhancing Signed Graph Neural Networks through Curriculum-Based Training
Zeyu Zhang, Lu Li, Xingyu Ji +5
Signed graphs are powerful models for representing complex relations with both positive and negative connections. Recently, Signed Graph Neural Networks (SGNNs) have emerged as pot…
cs.SD2022
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning
Qiqi Wang, Xulong Zhang, Jianzong Wang +2
Any-to-any voice conversion problem aims to convert voices for source and target speakers, which are out of the training data. Previous works wildly utilize the disentangle-based m…