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cs.LG2025
Graph Positional Autoencoders as Self-supervised Learners
Yang Liu, Deyu Bo, Wenxuan Cao +3
Graph self-supervised learning seeks to learn effective graph representations without relying on labeled data. Among various approaches, graph autoencoders (GAEs) have gained signi…
cs.CV2025
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo, Songhua Liu, Xinchao Wang
Dataset distillation (DD) has emerged as a promising approach to compress datasets and speed up model training. However, the underlying connections among various DD methods remain…