Mtandao wa Neural unaoeleweka wa Grafu
Mitandao ya Neural ya Grafu (XAI-GNN) huunganisha usanifu wa kawaida wa GNN na mbinu za maelezo za baada ya utendaji au za ndani ambazo zinaonyesha ni nodi, kingo, na vipengele vya nodi vilihusika na utabiri wa mfumo. Uanzilishi na GNNExplainer (Ying et al., 2019), uwanja unashughulikia ukosoaji wa kisanduku cheusi cha GNN na ni muhimu popote ambapo utabiri unaotegemea grafu lazima uaminike au ukaguliwe.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Ying, Z., Bourgeois, D., You, J., Zitnik, M., & Leskovec, J. (2019). GNNExplainer: Generating Explanations for Graph Neural Networks. Advances in Neural Information Processing Systems (NeurIPS), 32, 9240–9251. link ↗
- Yuan, H., Yu, H., Gui, S., & Ji, S. (2023). Explainability in Graph Neural Networks: A Taxonomic Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 5782–5799. DOI: 10.1109/TPAMI.2022.3204236 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Explainable Graph Neural Network (XAI-GNN). ScholarGate. https://scholargate.app/sw/deep-learning/explainable-graph-neural-network
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Ufafanuzi wa Uainishaji wa BERTUjifunzaji wa Kina↔ compare
- Transformer ZinazoelekaUjifunzaji wa Kina↔ compare
- Mtandao wa Neti Nyingi za GrafuUchanganuzi wa Mitandao↔ compare
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