1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Benchmarking GNNs for OOD Materials Property Prediction with Uncertainty Quantification
Liqin Tan, Pin Chen, Menghan Liu +3
We present MatUQ, a benchmark framework for evaluating graph neural networks (GNNs) on out-of-distribution (OOD) materials property prediction with uncertainty quantification (UQ).…
cs.CV2023★ 1 cited
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang, Yujun Huang, Tong Zhang +3
Currently intelligent diagnosis systems lack the ability of continually learning to diagnose new diseases once deployed, under the condition of preserving old disease knowledge. In…