188 related articles for article (PubMed ID: 36590103)
21. Quantifying uncertainty in graph neural network explanations.
Jiang J; Ling C; Li H; Bai G; Zhao X; Zhao L
Front Big Data; 2024; 7():1392662. PubMed ID: 38784676
[TBL] [Abstract][Full Text] [Related]
22. Learning and reasoning with graph data.
Jaeger M
Front Artif Intell; 2023; 6():1124718. PubMed ID: 37675398
[TBL] [Abstract][Full Text] [Related]
23. Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis.
Besta M; Hoefler T
IEEE Trans Pattern Anal Mach Intell; 2024 May; 46(5):2584-2606. PubMed ID: 38386570
[TBL] [Abstract][Full Text] [Related]
24. On Inductive-Transductive Learning With Graph Neural Networks.
Ciano G; Rossi A; Bianchini M; Scarselli F
IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):758-769. PubMed ID: 33493112
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Towards Inductive and Efficient Explanations for Graph Neural Networks.
Luo D; Zhao T; Cheng W; Xu D; Han F; Yu W; Liu X; Chen H; Zhang X
IEEE Trans Pattern Anal Mach Intell; 2024 Aug; 46(8):5245-5259. PubMed ID: 38319773
[TBL] [Abstract][Full Text] [Related]
27. Explainable graph neural networks for organic cages.
Yuan Q; Szczypiński FT; Jelfs KE
Digit Discov; 2022 Apr; 1(2):127-138. PubMed ID: 35515082
[TBL] [Abstract][Full Text] [Related]
28. Deep reinforcement learning guided graph neural networks for brain network analysis.
Zhao X; Wu J; Peng H; Beheshti A; Monaghan JJM; McAlpine D; Hernandez-Perez H; Dras M; Dai Q; Li Y; Yu PS; He L
Neural Netw; 2022 Oct; 154():56-67. PubMed ID: 35853320
[TBL] [Abstract][Full Text] [Related]
29. MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Jiang B; Chen S; Wang B; Luo B
Neural Netw; 2022 Sep; 153():204-214. PubMed ID: 35750007
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Template-based graph registration network for boosting the diagnosis of brain connectivity disorders.
Gürler Z; Gharsallaoui MA; Rekik I;
Comput Med Imaging Graph; 2023 Jan; 103():102140. PubMed ID: 36470102
[TBL] [Abstract][Full Text] [Related]
32. Permute Me Softly: Learning Soft Permutations for Graph Representations.
Nikolentzos G; Dasoulas G; Vazirgiannis M
IEEE Trans Pattern Anal Mach Intell; 2023 Apr; 45(4):5087-5098. PubMed ID: 35793300
[TBL] [Abstract][Full Text] [Related]
33. Graph Neural Networks and Their Current Applications in Bioinformatics.
Zhang XM; Liang L; Liu L; Tang MJ
Front Genet; 2021; 12():690049. PubMed ID: 34394185
[TBL] [Abstract][Full Text] [Related]
34. Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification.
Gong M; Zhou H; Qin AK; Liu W; Zhao Z
IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9234-9247. PubMed ID: 35312623
[TBL] [Abstract][Full Text] [Related]
35. Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease Using EEG Data.
Klepl D; He F; Wu M; Blackburn DJ; Sarrigiannis P
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3978-3987. PubMed ID: 37792656
[TBL] [Abstract][Full Text] [Related]
36. DATA-DRIVEN LEARNING OF GEOMETRIC SCATTERING MODULES FOR GNNS.
Tong A; Wenkel F; Macdonald K; Krishnaswamy S; Wolf G
IEEE Int Workshop Mach Learn Signal Process; 2021 Oct; 2021():. PubMed ID: 36945315
[TBL] [Abstract][Full Text] [Related]
37. SLI-GNN: A Self-Learning-Input Graph Neural Network for Predicting Crystal and Molecular Properties.
Dong Z; Feng J; Ji Y; Li Y
J Phys Chem A; 2023 Jul; 127(28):5921-5929. PubMed ID: 37418164
[TBL] [Abstract][Full Text] [Related]
38. A metric learning-based method using graph neural network for pancreatic cystic neoplasm classification from CTs.
Zhang J; Mao Y; Li J; Li Y; Luo J
Med Phys; 2022 Aug; 49(8):5523-5536. PubMed ID: 35536056
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. A Block-Based Adaptive Decoupling Framework for Graph Neural Networks.
Shen X; Zhang Y; Xie Y; Wong KC; Peng C
Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141076
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
