2 papers
cs.LG2026
Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
Lianze Shan, Ningchong Wang, Jitao Zhao +2
Graph Contrastive Learning (GCL), which trains graph encoders by maximizing similarity between positive samples and minimizing it between negative ones, has emerged as a mainstream…
cs.CV2026
Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception
Xinyu Nan, Ning Wang, Yuyao Zhai +1
Image aesthetic enhancement aims to perceive aesthetic deficiencies in images and perform corresponding editing operations, which is highly challenging and requires the model to po…