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pith:2026:ZPPNWJBC6LBU2JE7LF2QEPYHET
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What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition

Danny Wang, Ruihong Qiu, Zi Huang

TIDE decomposes graph information into feature-specific, structure-specific and joint components to retain only label-relevant joint signals for improved out-of-distribution node detection.

arxiv:2605.13032 v2 · 2026-05-13 · cs.LG

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Claims

C1strongest claim

TIDE explicitly decomposes information into feature-specific, structure-specific and joint components, preserving only the label-relevant part of the joint information while filtering out spurious feature- and structure-specific information.

C2weakest assumption

That the joint information component can be reliably separated into label-relevant versus spurious parts and that removing the spurious specific components will produce a measurable entropy gap and higher ID confidence without harming ID accuracy.

C3one line summary

TIDE decomposes graph information into feature-specific, structure-specific, and joint components to retain only label-relevant joint signals and improve OOD detection over standard supervised learning.

References

133 extracted · 133 resolved · 0 Pith anchors

[1] Your classifier is secretly an energy based model and you should treat it like one , booktitle =
[2] Srikant , title =
[3] CVPR , year =
[4] NeurIPS , year =
[5] NeurIPS , year =

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First computed 2026-05-18T03:08:59.705804Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

cbdedb2422f2c34d249f5975023f0724fa93b3f0d26a9f96726a97fd456f49e2

Aliases

arxiv: 2605.13032 · arxiv_version: 2605.13032v2 · doi: 10.48550/arxiv.2605.13032 · pith_short_12: ZPPNWJBC6LBU · pith_short_16: ZPPNWJBC6LBU2JE7 · pith_short_8: ZPPNWJBC
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZPPNWJBC6LBU2JE7LF2QEPYHET \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: cbdedb2422f2c34d249f5975023f0724fa93b3f0d26a9f96726a97fd456f49e2
Canonical record JSON
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