scnet

Our method employs a unique dual-graph architecture based on graph neural networks (GNNs), enabling the joint representation of gene expression and PPI network data

Version0.2.4
Downloads
9.23k
License
AuthorRon Sheinin
UpdatedJan 24, 2026

Downloads

Weekly, last 90d.
Includes CI traffic.

VersionsTotal0.*
Range
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Granularity
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CI traffic
Stack: OffCI: Included2 / 25 series
Selected total1.52k
9.2kAll-time
230Last 30 days
10Last 24 h
<0.01/sPer second

Version distribution

Share of downloads by released version. Computed over the last quarter.

  • 01

    0.2.4

    422 downloads
    55.6%
  • 02

    0.2.3

    180 downloads
    23.7%
  • 03

    0.2.2.6

    118 downloads
    15.5%
  • 04

    0.2.0.2

    8 downloads
    1.1%
  • 05

    0.2.1

    6 downloads
    0.8%
  • 06

    0.2.2

    5 downloads
    0.7%
  • 07

    0.2.2.2

    2 downloads
    0.3%
  • 08

    0.2.2.5

    2 downloads
    0.3%
  • 09

    Other

    16 downloads
    2.1%

Guess the next day

Thirteen recent days of scnet downloads. Drag the green handle on the right to guess where day fourteen lands.

TRUTH1010TUEWEDTHUFRISATSUNMONTUEWEDTHUFRISATSUN
    scnet · 9.2k downloads on PyPI