Research map / Graph learning / Graph self-supervised learning
Confidence-Based Feature Imputation for Graphs with Partially Known Features
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace FP's symmetric transition matrix with row-stochastic transition matrix (ablation) | feature propagation (CiteSeer, GCN) · CiteSeer structural missing rm=0.995 | accuracy: +5.04 (59.76 to 64.80) | Helped |
| Add pseudo-confidence channel-wise inter-node diffusion (ablation) | PCFI (CiteSeer, GCN) · CiteSeer structural missing rm=0.995 | accuracy: +0.60 (64.80 to 65.40) | Helped |
| Add node-wise inter-channel propagation (ablation) | PCFI (CiteSeer, GCN) · CiteSeer structural missing rm=0.995 | accuracy: +0.78 (65.40 to 66.18) | Helped |
| Add pseudo-confidence channel-wise inter-node diffusion (ablation) | PCFI (Cora, GAE) · Cora link prediction structural missing rm=0.995 | AUC: +0.20 (83.96 to 84.16) | Helped |
| Add node-wise inter-channel propagation (ablation) | PCFI (Cora, GAE) · Cora link prediction structural missing rm=0.995 | AUC: +2.29 (84.16 to 86.45) | Helped |
| Add node-wise inter-channel propagation and pseudo-confidence diffusion over FP baseline (ablation) | PubMed link prediction (GAE) · PubMed uniform missing rm=0.995 (ablation, Table 7) | AUC: 77.05 to 85.26 across all components | Helped |
| Full PCFI replaces FP (pseudo-confidence imputation with channel-wise diffusion and inter-channel propagation) | node classification with GCN · six datasets, structural missing rm=0.995 | average accuracy: +2.41 (72.92 to 75.33) | Helped |
| Full PCFI replaces FP for node classification | node classification with GCN · six datasets, uniform missing rm=0.995 | average accuracy: +1.27 (76.22 to 77.49) | Helped |
| Full PCFI replaces FP for link prediction (GAE) | link prediction · Cora/CiteSeer/Photo/Computers, structural and uniform missing rm=0.995 | AUC: Cora structural +15.48 (68.26 to 83.74) | Helped |
| Full PCFI vs FP on PubMed link prediction | PubMed link prediction structural missing · PubMed structural missing rm=0.995 | AUC: 78.93 vs 87.14 for FP | Hurt |
Closest papers by meaning
- Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features (ICML 2025 · similarity 0.92)
- Attribute-Missing Graph Clustering Network (AAAI 2024 · similarity 0.85)
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- Robust Node Classification on Graph Data with Graph and Label Noise (AAAI 2024 · similarity 0.83)
- Missing Data Imputation by Reducing Mutual Information with Rectified Flows (NeurIPS 2025 · similarity 0.83)
- No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets (ICML 2025 · similarity 0.83)
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