Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Lanning Wei, Huan Zhao, Zhiqiang He
Proceedings of the ACM Web Conference 2022 (2022)
Open Access | Times Cited: 22

Showing 22 citing articles:

Capacity estimation of lithium-ion batteries based on data aggregation and feature fusion via graph neural network
Zhe Wang, Fangfang Yang, Qiang Xu, et al.
Applied Energy (2023) Vol. 336, pp. 120808-120808
Closed Access | Times Cited: 42
Neural Architecture Search for GNN-Based Graph Classification
Lanning Wei, Huan Zhao, Zhiqiang He, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-29
Open Access | Times Cited: 12
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Lanning Wei, Zhiqiang He, Huan Zhao, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 588-598
Open Access | Times Cited: 12
AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network
Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1773-1784
Closed Access | Times Cited: 4
Black-box Adversarial Attack and Defense on Graph Neural Networks
Haoyang Li, Shimin Di, Zijian Li, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 1017-1030
Open Access | Times Cited: 14
DGI: An Easy and Efficient Framework for GNN Model Evaluation
Peiqi Yin, Xiao Yan, Jinjing Zhou, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5439-5450
Closed Access | Times Cited: 8
Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search
Chao Wang, Licheng Jiao, Jiaxuan Zhao, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 208-222
Open Access | Times Cited: 7
Message Function Search for Knowledge Graph Embedding
Shimin Di, Lei Chen
Proceedings of the ACM Web Conference 2022 (2023), pp. 2633-2644
Closed Access | Times Cited: 7
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
Chao Li, Hao Xu, Kun He
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8518-8526
Open Access | Times Cited: 6
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
Zhili Wang, Shimin Di, Lei Chen
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2489-2501
Closed Access | Times Cited: 6
Graph neural architecture search with heterogeneous message-passing mechanisms
Y. Wang, Jiamin Chen, Qiutong Li, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 4283-4308
Closed Access | Times Cited: 1
Depth-adaptive graph neural architecture search for graph classification
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112321-112321
Closed Access | Times Cited: 1
A surrogate evolutionary neural architecture search algorithm for graph neural networks
Yang Liu, Jing Liu
Applied Soft Computing (2023) Vol. 144, pp. 110485-110485
Closed Access | Times Cited: 3
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
Haoyang Li, Shimin Di, Lei Chen, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 859-873
Closed Access
Searching Heterophily-Agnostic Graph Neural Networks
Lanning Wei, Zhiqiang He, Huan Zhao, et al.
(2024)
Closed Access
Asymmetric augmented paradigm-based graph neural architecture search
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103897-103897
Closed Access
Meta-Multigraph Search: Rethinking Meta-Structure on Heterogeneous Information Networks
Chao Li, Hao Xu, Kun He
(2023)
Open Access
Multimodal generation of astrocyte by integrating single-cell multi-omics data via deep learning
Jiashun Mao, Jianmin Wang, Amir Zeb, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Analysis of Security Issues in Embedding Knowledge Graph
雷 纪
Software Engineering and Applications (2023) Vol. 12, Iss. 06, pp. 844-850
Closed Access
A Review of Adversarial Attacks and Defenses on Graphs
H.M. Sun, Wen Feng Yang, Yatie Xiao
(2023), pp. 416-421
Closed Access
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020
Zhen Xu, Lanning Wei, Huan Zhao, et al.
arXiv (Cornell University) (2022)
Open Access
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020
Zhi Xu, Lanning Wei, Huan Zhao, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access
Page 1

Scroll to top