2 papers
cs.GR2026
Random-Forest-Induced Graph Neural Networks for Tabular Learning
Haozhe Chen, Soheila Farokhi, Kelvyn Bladen +2
Graphs are essential for modeling complex relationships and capturing structured interactions in data. Graph Neural Networks (GNNs) are particularly effective when such relational…
cs.CV2025
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
Cheng Jin, Luyang Luo, Huangjing Lin +2
Fine-grained classification of whole slide images (WSIs) is essential in precision oncology, enabling precise cancer diagnosis and personalized treatment strategies. The core of th…