118 related articles for article (PubMed ID: 38319773)
21. EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks.
Mastropietro A; Pasculli G; Feldmann C; Rodríguez-Pérez R; Bajorath J
iScience; 2022 Oct; 25(10):105043. PubMed ID: 36134335
[TBL] [Abstract][Full Text] [Related]
22. MGraphDTA: deep multiscale graph neural network for explainable drug-target binding affinity prediction.
Yang Z; Zhong W; Zhao L; Yu-Chian Chen C
Chem Sci; 2022 Jan; 13(3):816-833. PubMed ID: 35173947
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Evaluating graph neural networks under graph sampling scenarios.
Wei Q; Hu G
PeerJ Comput Sci; 2022; 8():e901. PubMed ID: 35494843
[TBL] [Abstract][Full Text] [Related]
25. PSA-GNN: An augmented GNN framework with priori subgraph knowledge.
Xue G; Zhong M; Qian T; Li J
Neural Netw; 2024 May; 173():106155. PubMed ID: 38335793
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
Liu C; Ma X; Zhan Y; Ding L; Tao D; Du B; Hu W; Mandic DP
IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37368807
[TBL] [Abstract][Full Text] [Related]
28. Reverse Graph Learning for Graph Neural Network.
Peng L; Hu R; Kong F; Gan J; Mo Y; Shi X; Zhu X
IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4530-4541. PubMed ID: 35380973
[TBL] [Abstract][Full Text] [Related]
29. Auto-GNN: Neural architecture search of graph neural networks.
Zhou K; Huang X; Song Q; Chen R; Hu X
Front Big Data; 2022; 5():1029307. PubMed ID: 36466713
[TBL] [Abstract][Full Text] [Related]
30. Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.
Finzel B; Saranti A; Angerschmid A; Tafler D; Pfeifer B; Holzinger A
Kunstliche Intell (Oldenbourg); 2022; 36(3-4):271-285. PubMed ID: 36590103
[TBL] [Abstract][Full Text] [Related]
31. Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.
Zhang Y; Qin Z; Anwar S; Kim D; Liu Y; Ji P; Gedeon T
IEEE Trans Neural Netw Learn Syst; 2024 Mar; PP():. PubMed ID: 38530723
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions.
Wu L; Lin H; Liu Z; Liu Z; Huang Y; Li SZ
IEEE Trans Neural Netw Learn Syst; 2023 Apr; PP():. PubMed ID: 37079406
[TBL] [Abstract][Full Text] [Related]
34. Enhanced Scalable Graph Neural Network via Knowledge Distillation.
Mai C; Chang Y; Chen C; Zheng Z
IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37999962
[TBL] [Abstract][Full Text] [Related]
35. SLAPP: Subgraph-level attention-based performance prediction for deep learning models.
Wang Z; Yang P; Hu L; Zhang B; Lin C; Lv W; Wang Q
Neural Netw; 2024 Feb; 170():285-297. PubMed ID: 38000312
[TBL] [Abstract][Full Text] [Related]
36. FlowX: Towards Explainable Graph Neural Networks via Message Flows.
Gui S; Yuan H; Wang J; Lao Q; Li K; Ji S
IEEE Trans Pattern Anal Mach Intell; 2024 Jul; 46(7):4567-4578. PubMed ID: 38147422
[TBL] [Abstract][Full Text] [Related]
37. Revisiting graph neural networks from hybrid regularized graph signal reconstruction.
Miao J; Cao F; Ye H; Li M; Yang B
Neural Netw; 2023 Jan; 157():444-459. PubMed ID: 36427414
[TBL] [Abstract][Full Text] [Related]
38. Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.
Beddar-Wiesing S; D'Inverno GA; Graziani C; Lachi V; Moallemy-Oureh A; Scarselli F; Thomas JM
Neural Netw; 2024 May; 173():106213. PubMed ID: 38428377
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Code Similarity Prediction Model for Industrial Management Features Based on Graph Neural Networks.
Li Z; Lei H; Ma Z; Zhang F
Entropy (Basel); 2024 Jun; 26(6):. PubMed ID: 38920514
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
