2 papers
cs.LG2023
A Causal Disentangled Multi-Granularity Graph Classification Method
Yuan Li, Li Liu, Penggang Chen +2
Graph data widely exists in real life, with large amounts of data and complex structures. It is necessary to map graph data to low-dimensional embedding. Graph classification, a cr…
cs.CV2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
Jinye Yang, Ji Xu, Di Wu +3
Long-tailed (LT) classification is an unavoidable and challenging problem in the real world. Most existing long-tailed classification methods focus only on solving the class-wise i…