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pith:FY5AT53B

pith:2026:FY5AT53BWPHQEBJARMXXZT6W2N
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Breaking the Reasoning Horizon in Entity Alignment Foundation Models

Kexuan Xin, Wei Hu, Yuanning Cui, Zequn Sun, Zhangjie Fu

A parallel encoding strategy lets entity alignment foundation models generalize directly to unseen knowledge graphs.

arxiv:2601.21174 v2 · 2026-01-29 · cs.LG

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

We propose a EA foundation model driven by a parallel encoding strategy... This facilitates anchor-conditioned message passing and significantly shortens the inference trajectory by leveraging local structural proximity instead of global search... Extensive experiments verify the effectiveness of our framework, highlighting its strong generalizability to unseen KGs.

C2weakest assumption

That seed EA pairs are always available as reliable local anchors and that parallel streams plus the merged relation graph can fully capture necessary long-range dependencies without introducing new errors or losing critical global structure in sparse heterogeneous KGs.

C3one line summary

A parallel encoding strategy with anchor-conditioned message passing and a merged relation graph allows entity alignment foundation models to generalize to unseen knowledge graphs by shortening the reasoning horizon.

References

25 extracted · 25 resolved · 0 Pith anchors

[1] Bronstein, ˙Ismail ˙Ilkan Ceylan, Mikhail Galkin, Juan L 2025
[2] Translating embeddings for modeling multi-relational data 2013
[3] Neusymea: Neuro-symbolic entity alignment via varia- tional inference 2017
[4] [Chenet al., 2025 ] Zerui Chen, Huiming Fan, Qianyu Wang, Tao He, Ming Liu, Heng Chang, Weijiang Yu, Ze Li, and Bing Qin 2025
[5] A prompt-based knowledge graph foundation model for uni- versal in-context reasoning 2024

Formal links

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Receipt and verification
First computed 2026-05-17T23:39:16.559256Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2e3a09f761b3cf0205208b2f7ccfd6d375a191c8bfdbc6727eeabf58c43dfc6e

Aliases

arxiv: 2601.21174 · arxiv_version: 2601.21174v2 · doi: 10.48550/arxiv.2601.21174 · pith_short_12: FY5AT53BWPHQ · pith_short_16: FY5AT53BWPHQEBJA · pith_short_8: FY5AT53B
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FY5AT53BWPHQEBJARMXXZT6W2N \
  | 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: 2e3a09f761b3cf0205208b2f7ccfd6d375a191c8bfdbc6727eeabf58c43dfc6e
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-01-29T02:18:45Z",
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