arXiv (All)
open access
Local Evidence and Geometric Readout Repair in Trained GNNs
Many node-classification GNNs apply a linear classifier to a nonnegative mixture of local messages. An error can reflect either poor mixture weights or a reachable logit set poorly positioned for the classifier. We separate these causes with an exact-mass linear program and two learned post-hoc repa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Forking: Sudden Overfitting Under Replay#1155329
- AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments#246523
- ProME: Prototype-Margin Environments with Repair-Aware Selection for Group-Robust Learning#451316
- Selective Posterior Margin Regularization for Forward-Corrected Classification#973481
- Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks#1109087
Record · ID 1063303
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive