LTesan/MPNN-UnderReach — IdeaCred

MPNN-UnderReach explores the under-reaching phenomenon in message-passing neural PDE solvers. We propose physics-guided lower bounds on the number of message passing iterations. These bounds link graph information propagation to the CFL condition and PDE type. Official code for Tesan L. & Iparraguirre M.M. (2025)

What's novel

MPNN-UnderReach explores the under-reaching phenomenon in message-passing neural PDE solvers. We propose physics-guided lower bounds on the number of message passing iterations. These bounds link graph information propagation to the CFL condition and PDE type. Official code for Tesan L. & Iparraguirre M.M. (2025)

Score Breakdown

Innovation

5 (25%)

Craft

42 (35%)

Traction

5 (15%)

Scope

51 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+0

Unique Niche+1

Concept Novelty+3

Craft

Ci-1

Tests+8

Polish+0

Releases+3

Has License+5

Code Quality+12

Readme Quality+15

Recent Activity+7

Structure Quality+4

Commit Consistency+0

Has Dependency Mgmt+0

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+0

Scope

Commits+5

Languages+5

Subsystems+10

Bloat Penalty+0

Completeness+6

Contributors+5

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

18

Contributors

1

Files

690

Active weeks

2

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

2

Forks

0

License

GPL-3.0