139 related articles for article (PubMed ID: 38683705)
1. CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks.
Zhu P; Li J; Dong Z; Hu Q; Wang X; Wang Q
IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38683705
[TBL] [Abstract][Full Text] [Related]
2. Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling.
Bianchi FM; Grattarola D; Livi L; Alippi C
IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2195-2207. PubMed ID: 33382662
[TBL] [Abstract][Full Text] [Related]
3. Graph Multihead Attention Pooling with Self-Supervised Learning.
Wang Y; Hu L; Wu Y; Gao W
Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554149
[TBL] [Abstract][Full Text] [Related]
4. Second-Order Pooling for Graph Neural Networks.
Wang Z; Ji S
IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):6870-6880. PubMed ID: 32750778
[TBL] [Abstract][Full Text] [Related]
5. Augmented Graph Neural Network with hierarchical global-based residual connections.
Rassil A; Chougrad H; Zouaki H
Neural Netw; 2022 Jun; 150():149-166. PubMed ID: 35313247
[TBL] [Abstract][Full Text] [Related]
6. On exploring node-feature and graph-structure diversities for node drop graph pooling.
Liu C; Zhan Y; Yu B; Liu L; Du B; Hu W; Liu T
Neural Netw; 2023 Oct; 167():559-571. PubMed ID: 37696073
[TBL] [Abstract][Full Text] [Related]
7. Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation.
Zhang S; Xie L
IJCAI (U S); 2020 Jul; 2020():1395-1402. PubMed ID: 32782421
[TBL] [Abstract][Full Text] [Related]
8. Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.
Itoh TD; Kubo T; Ikeda K
Neural Netw; 2022 Jan; 145():356-373. PubMed ID: 34808587
[TBL] [Abstract][Full Text] [Related]
9. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
Li XS; Liu X; Lu L; Hua XS; Chi Y; Xia K
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696650
[TBL] [Abstract][Full Text] [Related]
10. SP-GNN: Learning structure and position information from graphs.
Chen Y; You J; He J; Lin Y; Peng Y; Wu C; Zhu Y
Neural Netw; 2023 Apr; 161():505-514. PubMed ID: 36805265
[TBL] [Abstract][Full Text] [Related]
11. Graph Transformer Networks: Learning meta-path graphs to improve GNNs.
Yun S; Jeong M; Yoo S; Lee S; Yi SS; Kim R; Kang J; Kim HJ
Neural Netw; 2022 Sep; 153():104-119. PubMed ID: 35716619
[TBL] [Abstract][Full Text] [Related]
12. Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
Shi S; Qiao K; Yang S; Wang L; Chen J; Yan B
Front Neurorobot; 2021; 15():775688. PubMed ID: 34899230
[TBL] [Abstract][Full Text] [Related]
13. Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily.
Chen J; Chen S; Gao J; Huang Z; Zhang J; Pu J
IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37195851
[TBL] [Abstract][Full Text] [Related]
14. Not all edges are peers: Accurate structure-aware graph pooling networks.
Yu H; Yuan J; Yao Y; Wang C
Neural Netw; 2022 Dec; 156():58-66. PubMed ID: 36242834
[TBL] [Abstract][Full Text] [Related]
15. Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
Fan S; Wang X; Shi C; Cui P; Wang B
IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):322-337. PubMed ID: 37782581
[TBL] [Abstract][Full Text] [Related]
16. Motif Graph Neural Network.
Chen X; Cai R; Fang Y; Wu M; Li Z; Hao Z
IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37335782
[TBL] [Abstract][Full Text] [Related]
17. muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs.
Melton J; Krishnan S
IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):11067-11078. PubMed ID: 37030828
[TBL] [Abstract][Full Text] [Related]
18. Transition Propagation Graph Neural Networks for Temporal Networks.
Zheng T; Feng Z; Zhang T; Hao Y; Song M; Wang X; Wang X; Zhao J; Chen C
IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4567-4579. PubMed ID: 36399591
[TBL] [Abstract][Full Text] [Related]
19. Pre-training graph neural networks for link prediction in biomedical networks.
Long Y; Wu M; Liu Y; Fang Y; Kwoh CK; Chen J; Luo J; Li X
Bioinformatics; 2022 Apr; 38(8):2254-2262. PubMed ID: 35171981
[TBL] [Abstract][Full Text] [Related]
20. CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
Zheng K; Yu S; Chen B
Neural Netw; 2024 Apr; 172():106147. PubMed ID: 38306785
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
