[HTML][HTML] Polynomial kernel learning for interpolation kernel machines with application to graph classification
Since all training data is interpolated, interpolating classifiers have zero training error.
However, recent work provides compelling reasons to investigate these classifiers, including …
However, recent work provides compelling reasons to investigate these classifiers, including …
MSGL+: Fast and Reliable Model Selection-Inspired Graph Metric Learning
C Yang, F Zheng, Y Zou, L Xue, C Jiang, S Liu, B Zhao… - Electronics, 2023 - mdpi.com
The problem of learning graph-based data structures from data has attracted considerable
attention in the past decade. Different types of data can be used to infer the graph structure …
attention in the past decade. Different types of data can be used to infer the graph structure …