Research map / Graph learning / Graph self-supervised learning
Multiple Source Detection without Knowing the Underlying Propagation Model
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use LPSI (con/iter) instead of NetSleuth and Zang's method for multiple source detection | LPSI · KARATE and Jazz, SI/SIR | F-score: 50%∼200% relatively | Helped |
| use LPSI instead of NetSleuth and Zang's method on the larger network | LPSI · Ego-Facebook, SI/SIR | F-score: 100%∼500% relatively | Helped |
| switch epidemic model from SI to SIR | LPSI · KARATE, Jazz, Ego-Facebook | F-score | No clear effect |
| use iterative version with 5 iterations instead of converged label propagation (ablation) | LPSI · all datasets, SI/SIR/IC/LT | F-score | No clear effect |
| evaluate under IC and LT influence models instead of infection models | LPSI · KARATE, Ego-Facebook | F-score | No clear effect |
| use LT model on Jazz instead of IC model | LPSI · Jazz | F-score | Hurt |
| use iterative LPSI instead of converged LPSI and baselines for scalability | LPSI iter · synthetic scale-free networks, SI | elapsed time | Helped |
| push alpha toward 0 or 1 instead of 0.2-0.6 (ablation) | LPSI con · Ego-Facebook K=5, all four models | F-score | Hurt |
Closest papers by meaning
- Conformal Prediction for Multi-Source Detection on a Network (AAAI 2026 · similarity 0.88)
- Diffusion Source Identification on Networks with Statistical Confidence (ICML 2021 · similarity 0.84)
- GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (AAAI 2024 · similarity 0.82)
- Learning Diffusions under Uncertainty (AAAI 2024 · similarity 0.81)
- DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector (ICLR 2025 · similarity 0.81)
- HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network (AAAI 2025 · similarity 0.80)
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