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cs.LG2025★ 4 cited
Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
XiaYu Liu, Chao Fan, Yang Liu +1
Accurate prediction of molecular properties is essential in drug discovery and related fields. However, existing graph neural networks (GNNs) often struggle to simultaneously captu…
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…