Design Requirements for Human-Centered Graph Neural Network Explanations
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911874319122432 |
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| author | Habibi, Pantea Baghershahi, Peyman Medya, Sourav Chattopadhyay, Debaleena |
| author_facet | Habibi, Pantea Baghershahi, Peyman Medya, Sourav Chattopadhyay, Debaleena |
| contents | Graph neural networks (GNNs) are powerful graph-based machine-learning models that are popular in various domains, e.g., social media, transportation, and drug discovery. However, owing to complex data representations, GNNs do not easily allow for human-intelligible explanations of their predictions, which can decrease trust in them as well as deter any collaboration opportunities between the AI expert and non-technical, domain expert. Here, we first discuss the two papers that aim to provide GNN explanations to domain experts in an accessible manner and then establish a set of design requirements for human-centered GNN explanations. Finally, we offer two example prototypes to demonstrate some of those proposed requirements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_06917 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Design Requirements for Human-Centered Graph Neural Network Explanations Habibi, Pantea Baghershahi, Peyman Medya, Sourav Chattopadhyay, Debaleena Machine Learning Human-Computer Interaction Graph neural networks (GNNs) are powerful graph-based machine-learning models that are popular in various domains, e.g., social media, transportation, and drug discovery. However, owing to complex data representations, GNNs do not easily allow for human-intelligible explanations of their predictions, which can decrease trust in them as well as deter any collaboration opportunities between the AI expert and non-technical, domain expert. Here, we first discuss the two papers that aim to provide GNN explanations to domain experts in an accessible manner and then establish a set of design requirements for human-centered GNN explanations. Finally, we offer two example prototypes to demonstrate some of those proposed requirements. |
| title | Design Requirements for Human-Centered Graph Neural Network Explanations |
| topic | Machine Learning Human-Computer Interaction |
| url | https://arxiv.org/abs/2405.06917 |