Research map / Graph learning / GNN architectures
Deep and Flexible Graph Neural Architecture Search
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Search flexible propagation/transformation pipelines and their depths (ablation) | DFG-NAS · Cora, Citeseer, PubMed, ogbn-arxiv | accuracy: 1.1\% to 2.3\% | Helped |
| Add node-adaptive Gate aggregation over propagation outputs (ablation) | DFG-NAS · Cora, Citeseer, PubMed, ogbn-arxiv | accuracy: 3.0-3.8\% | Helped |
| Include Gate in the architecture search space (ablation) | DFG-NAS · Cora, Citeseer, PubMed, ogbn-arxiv | accuracy: 0.8-1.8\% | Helped |
| Allow flexible P/T ordering instead of restricting pipelines to one pattern (ablation) | DFG-NAS · Cora, Citeseer, PubMed, ogbn-arxiv | accuracy: 1.1\% to 2.3\% | Helped |
| Add skip connections to transformation operations (ablation) | DFG-NAS · Cora, Citeseer, PubMed | accuracy | Helped |
| Use alternating P and T rather than a flexible pipeline (ablation) | DFG-NAS · Cora, Citeseer, PubMed, ogbn-arxiv | accuracy | Hurt |
Closest papers by meaning
- Rethinking Graph Neural Architecture Search From Message-Passing (CVPR 2021 · similarity 0.92)
- Graph Differentiable Architecture Search with Structure Learning (NeurIPS 2021 · similarity 0.92)
- Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks (ICML 2023 · similarity 0.92)
- AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization (ICML 2025 · similarity 0.88)
- Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts (AAAI 2024 · similarity 0.87)
- EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration (AAAI 2024 · similarity 0.87)
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