Evidence map›Paper›PMID 41939724›Full record

ArticleMachine learning and knowledge discovery in databases : European Conference, ECML PKDD ... : proceedings. ECML PKDD (Conference)2026

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding.

Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Machine learning and knowledge discovery in databases : European Conference, ECML PKDD ... : proceedings. ECML PKDD (Conference), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lijing ZhuBowling Green State University, Bowling Green OH 43403, USA.
Qizhen LanUniversity of Alabama, Birmingham, AL 35294, USA.
Qing TianUniversity of Alabama, Birmingham, AL 35294, USA.
Wenbo SunUniversity of Michigan, Ann Arbor, MI 48109, USA.
Li YangUniversity of North Carolina, Charlotte, NC 28223, USA.
Lu XiaMichigan State University, East Lansing, MI 48824, USA.
Yixin XieKennesaw State University, Kennesaw, GA 30144, USA.
Xi XiaoUniversity of Alabama, Birmingham, AL 35294, USA.
Tiehang DuanMayo Clinic, Jacksonville, FL 32066, USA.
Cui TaoMayo Clinic, Jacksonville, FL 32066, USA.
Shuteng NiuBowling Green State University, Bowling Green OH 43403, USA.

Funding

VIOLIN 2.0: Vaccine Information and Ontology LInked kNowledgebaseU24AI171008 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yongqun He, Junguk Hur · 2022 to 2026
$4.2M
Semantics Standards and Tools for Spatial and Contextual Exposome DataR24ES036131 · NIEHS · UNIVERSITY OF FLORIDA · PI Jiang Bian, Hui Hu · 2024 to 2026
$1.9M
COMBINI: connecting COmplementary Medicine evidence and BIological kNowledge to support Integrative HealthU01AT012871 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Halil Kilicoglu, Cui Tao · 2024 to 2026
$1.9M
NCCIH NIH HHS U01 AT012871NIAID NIH HHS U24 AI171008NIEHS NIH HHS R24 ES036131
6 · The paper itself

Abstract

Continual Knowledge Graph Embedding (CKGE) seeks to integrate new knowledge while preserving past information. However, existing methods struggle with efficiency and scalability due to two key limitations: (1) suboptimal knowledge preservation between snapshots caused by manually designed node/relation importance scores that ignore graph dependencies relevant to the downstream task, and (2) computationally expensive graph traversal for node/relation importance calculation, leading to slow training and high memory overhead. To address these limitations, we introduce

Indexed as

Continual Knowledge Graph LearningGraph CompletionGraph Representation LearningKnowledge Graph

Identifiers

PMID41939724
PMCPMC13045630

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.