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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

On exploring node-feature and graph-structure diversities for node drop graph pooling
Chuang Liu, Yibing Zhan, Baosheng Yu, et al.
Neural Networks (2023) Vol. 167, pp. 559-571
Open Access | Times Cited: 11

Showing 11 citing articles:

Disentangled contrastive learning for fair graph representations
Guixian Zhang, Guan Yuan, Debo Cheng, et al.
Neural Networks (2024) Vol. 181, pp. 106781-106781
Closed Access | Times Cited: 5
Clustering matrix regularization guided hierarchical graph pooling
Zidong Wang, Yang Liu, Tingxuan Chen, et al.
Knowledge-Based Systems (2025), pp. 113108-113108
Closed Access
Feature-topology cascade perturbation for graph neural network
Hui Cong, Xibei Yang, Keyu Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110657-110657
Closed Access
LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach
Wenjing Qiu, Qianle Liang, Liyi Yu, et al.
Current Pharmaceutical Design (2024) Vol. 30, Iss. 6, pp. 468-476
Open Access | Times Cited: 1
Towards a better negative sampling strategy for dynamic graphs
Kuang Gao, Chuang Liu, Jia Wu, et al.
Neural Networks (2024) Vol. 173, pp. 106175-106175
Closed Access | Times Cited: 1
Adaptive multi-scale Graph Neural Architecture Search framework
Lintao Yang, Píetro Lió, Xu Shen, et al.
Neurocomputing (2024) Vol. 599, pp. 128094-128094
Closed Access | Times Cited: 1
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Graph Explicit Pooling for Graph-Level Representation Learning
Chuang Liu, Wenhang Yu, Kuang Gao, et al.
(2024)
Closed Access
HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting
R. Xie, Xuefeng Guan, Jun Cao, et al.
Information Sciences (2024) Vol. 679, pp. 120982-120982
Closed Access
Graph explicit pooling for graph-level representation learning
Chuang Liu, Wenhang Yu, Kuang Gao, et al.
Neural Networks (2024) Vol. 181, pp. 106790-106790
Closed Access
FedDAGC: Dynamic Adaptive Graph Coarsening for Federated Learning on Non-IID Graphs
Chengxi Zhang, Chunqiang Hu
Lecture notes in computer science (2024), pp. 50-62
Closed Access
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