2 papers
cs.CV2026
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
Zheng Huang, Enpei Zhang, Weikang Qiu +7
Understanding how the brain encodes visual information is a central challenge in neuroscience and machine learning. A promising approach is to reconstruct visual stimuli, essential…
cs.LG2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu, Yinghao Cai, Qihui Yang +1
Graph Neural Networks (GNNs) have emerged as a dominant approach in graph representation learning, yet they often struggle to capture consistent similarity relationships among grap…