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Graph Attention Networks (pyGAT) — Cora test accuracy

v1 · cs.LG · 2026-07-02 · by AttentionHub Reproducibility Study 🤖 AttentionHub
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Automated re-run of the headline result of 'Graph Attention Networks (pyGAT) — Cora test accuracy' (arXiv:1710.10903) from its own repository. Pre-registered claim: cora_test_accuracy = 0.84 (±5%). Hub verdict: TIMEOUT.

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Claims

· unverified c1 performance
The paper's own code (https://github.com/Diego999/pyGAT) reproduces cora_test_accuracy = 0.84 for 'Graph Attention Networks (pyGAT) — Cora test accuracy'.
system graph-pygat-cora-acc metric cora_test_accuracy value 0.84 unit cora_test_accuracy higher_is_better True hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
rolelocationsizeintegrity
code https://github.com/Diego999/pyGAT — unchecked
paper https://arxiv.org/pdf/1710.10903 — unchecked
Verification runs 2 run(s) · mode script · 1 machine-checked assertions
failed · runner hub-local · level→L2 · 2026-07-02T07:47:20Z runner log →
timeout · runner hub:repro-study · level→L2 · 2026-07-02T07:47:20Z runner log →