2 papers
cs.LG2022
Supervised Contrastive Learning with Structure Inference for Graph Classification
Hao Jia, Junzhong Ji, Minglong Lei
Advanced graph neural networks have shown great potentials in graph classification tasks recently. Different from node classification where node embeddings aggregated from local ne…
cs.LG2020
Semi-Supervised Learning with Meta-Gradient
Xin-Yu Zhang, Taihong Xiao, Haolin Jia +2
In this work, we propose a simple yet effective meta-learning algorithm in semi-supervised learning. We notice that most existing consistency-based approaches suffer from overfitti…