Research map / Graph learning / GNN architectures
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add self-supervised denoising to latent graph learning (ablation) | SLAPS on Cora and Citeseer · Cora and Citeseer | accuracy | Helped |
| add self-supervision to SLAPS (ablation) | Cora nodes not connected to labeled nodes · Cora, unconnected test-node group | accuracy: 38.0% | Helped |
| add self-supervision to SLAPS (ablation) | Cora nodes connected to at least one labeled node · Cora, connected test-node group | accuracy: 8.9% | Helped |
| add self-supervision (ablation) | SLAPS with FP generator and 5 labeled nodes per class · Cora | accuracy: 16.7% | Helped |
| add self-supervision (ablation) | SLAPS with FP generator and 5 labeled nodes per class · Citeseer | accuracy: 22.0% | Helped |
| add self-supervision (ablation) | SLAPS with FP generator and 20 labeled nodes per class · Cora and Citeseer | accuracy: 10.0%; 7.0% | Helped |
| add self-training (ablation) | SLAPS · Cora, Citeseer, Cora390, Citeseer370, Pubmed | accuracy: 72.8 ± 0.8 -> 74.2 ± 0.5; 70.5 ± 1.1 -> 73.1 ± 1.0; 75.3 ± 1.0 -> 75.5 ± 0.7; 73.0 ± 0.9 -> 73.3 ± 0.6; 74.4 ± 0.6 -> 74 | Mixed |
| add AdaEdge (ablation) | SLAPS · Cora, Citeseer, Cora390, Citeseer370 | accuracy: 72.8 ± 0.8 -> 72.8 ± 0.7; 70.5 ± 1.1 -> 70.6 ± 1.5; 75.3 ± 1.0 -> 75.2 ± 0.6; 73.0 ± 0.9 -> 72.6 ± 1.4 | Mixed |
| use self-supervision-only two-stage graph learning instead of joint label and feature objectives (ablation) | SLAPS on Cora with FP generator · Cora | accuracy: +8.4% | Helped |
| increase GCN depth from 2 to 4 layers without self-supervision (ablation) | SLAPS without self-supervision · Cora | accuracy: 66.2% -> 67.1% | Helped |
| increase GCN depth from 4 to 6 layers without self-supervision (ablation) | SLAPS without self-supervision · Cora | accuracy: 67.1% -> 55.8% | Hurt |
| use mean adjacency symmetrization rather than max or no symmetrization (ablation) | SLAPS with MLP generator · Cora and Citeseer | accuracy | Helped |
Closest papers by meaning
- Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings (ICML 2026 · similarity 0.88)
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- On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks (ICML 2025 · similarity 0.87)
- Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective (ICLR 2025 · similarity 0.87)
- Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness (ICML 2024 · similarity 0.87)
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