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2024년
주요 연관 키워드
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키워드별 논문 목록
(205건)
내 서재 담기
GraphXAI: a survey of graph neural networks (GNNs) for explainable AI (XAI)
저자:
Mauparna Nandan
,
Soma Mitra
,
Debashis De
키워드:
#interdisciplinary
#graphs
#researchers
#protein
#graph
파트:
Artificial Intelligence
|
연도:
2025
Understanding and Tackling Over-Dilution in Graph Neural Networks
저자:
Junhyun Lee
,
Veronika Thost
,
Bumsoo Kim
,
Jaewoo Kang
,
Tengfei Ma
키워드:
#learning
#neural
#graphs
#graph
#smoothing
파트:
Artificial Intelligence
|
연도:
2025
Identification of the Original Author of a Social Media Post Based on Text Analysis, Time Dependencies, and the Structure of Reposts Using Combined Neural Networks
저자:
Mullosharaf Arabov
,
Adelya Shaydullina
키워드:
#graph
#mathematical
#cnn
#authors
#library
파트:
Artificial Intelligence
|
연도:
2025
ARO-GNN: Adaptive relation-optimized graph neural networks
저자:
Yong Lu
,
Zhengguo Lin
키워드:
#neural
#graph
#optimization
#topology
#distortion
파트:
Artificial Intelligence
|
연도:
2025
A deep reinforcement learning model for large-scale traffic signal control based on graph meta-learning using local subgraphs
저자:
Zhicheng Zhou
,
Ya Zhang
,
Xinde Li
키워드:
#graph
#traffic
#networks
#road
#intersections
파트:
Artificial Intelligence
|
연도:
2025
Robust graph neural networks based on feature fusion
저자:
Yan Jin
,
Haoyu Shi
,
Huaiye Meng
키워드:
#algorithm
#neural
#graph
#experimental
#fusion
파트:
Artificial Intelligence
|
연도:
2025
Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data
저자:
F. Dornaika
,
J. Bi
,
J. Charafeddine
키워드:
#research
#learning
#graphs
#graph
#leveraging
파트:
Artificial Intelligence
|
연도:
2025
Towards Controllable Hybrid Fairness in Graph Neural Networks
저자:
Zihan Luo
,
Hong Huang
,
Jianxun Lian
,
Xiran Song
,
Hai Jin
키워드:
#neural
#graph
#optimization
#mining
#controllable
파트:
Artificial Intelligence
|
연도:
2025
Composing Reinforcement Learning Policies, with Formal Guarantees
저자:
Florent Delgrange
,
Guy Avni
,
Anna Lukina
,
Christian Schilling
,
Ann Nowé
,
Guillermo A Pérez
키워드:
#graph
#planner
#markov
#synthesis
#design
파트:
Artificial Intelligence
|
연도:
2025
Harnessing Influence Function in Explaining Graph Neural Networks
저자:
Heesoo Jung
,
Chanyong Kim
,
Geonhee Han
,
Hogun Park
키워드:
#neural
#graphs
#graph
#class
#experimental
파트:
Artificial Intelligence
|
연도:
2025