Independence-promoted disentangled dynamic graph attention network for out-of-distribution generalization

Authors

Haoyang Li (ORCID: https://orcid.org/0000-0003-3152-5929)
Xin Wang (ORCID: https://orcid.org/0000-0003-2605-5504)
Wenwu Zhu (ORCID: https://orcid.org/0000-0003-2236-9290)

Publication Details

Journal: Scientia Sinica Informationis
Published: 2025-09-16
DOI: https://doi.org/10.1360/ssi-2025-0216
Primary Topic: Advanced Neural Network Applications
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Independence-promoted disentangled dynamic graph attention network for out-of-distribution generalization

Haoyang Li, Xin Wang, Wenwu Zhu

Sep 16, 2025

Scientia Sinica Informationis

Advanced Neural Network Applications

article

Independence-promoted disentangled dynamic graph attention network for out-of-distribution generalization

Haoyang Li, Xin Wang, Wenwu Zhu

September 16, 2025article en

Abstract

No abstract available for this paper.

Scientia Sinica InformationisVol. 56(4)

Openalex Percentile: Top 75%

Advanced Neural Network Applications

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Independence-promoted disentangled dynamic graph attention network for out-of-distribution generalization — Haoyang Li, Xin Wang, et al. · Scientia Sinica Informationis (2025) | TGRS Research Map | TGRS