Codesota · Models · MSalNETAcademic1 results · 1 benchmarks
Model card

MSalNET.

AcademicclassificationMulti-site Adversarial Learning Network

Multi-site adversarial learning network with node information assembly mechanism for functional connectivity and site-level adversarial learning. Submitted Apr 2025.

§ 01 · Benchmarks

Every benchmark MSalNET has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ABIDE IMedical · Disease Classificationaccuracy75.6%#7/242025-04-12source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area

Where MSalNET actually performs.

Medical
1
benchmark
avg rank #7.0
§ 03 · Papers

1 paper with results for MSalNET.

  1. 2025-04-12· 1 result

    A Confounding Factors-Inhibition Adversarial Learning Network for Functional Connectivity-Based Autism Spectrum Disorder Identification

§ 04 · Related models

Other Academic models scored on Codesota.

SSAE + Softmax (Explainable ASD)
1 result · 1 SOTA
BrainTWT
2 results
Causal fMRI Model
2 results
ChebGAT-GCN
2 results
MADE-for-ASD
1 result
RGTNet
1 result
B-Whisper
1.5B params · 0 results
DNTextSpotter (ResNet-50)
0 results
§ 05 · Sources & freshness

Where these numbers come from.

paper
1
result
1 of 1 rows marked verified.