output
20182026
most citedSelf-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment

100 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

2 papers · 1 filter

cs.CV2023★ 6 cited

CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio

Gang Xu, Shuhao Wang, Lingyu Zhao +12

Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-i…

cs.LG2023★ 100 cited

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment

Meng Liu, Ke Liang, Yawei Zhao +5

Temporal graph learning aims to generate high-quality representations for graph-based tasks with dynamic information, which has recently garnered increasing attention. In contrast…