Research map / Probabilistic and scientific modeling / Dynamical systems
Network Diffusions via Neural Mean-Field Dynamics
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Random | precision: 0.481 -> 0.858 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Random | recall: 0.399 -> 0.954 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Random | accuracy: 0.434 -> 0.903 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Random | correlation: 0.465 -> 0.950 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Hierarchical | precision: 0.659 -> 0.826 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Hierarchical | recall: 0.429 -> 0.978 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Hierarchical | accuracy: 0.519 -> 0.893 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Hierarchical | correlation: 0.464 -> 0.938 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Core-periphery | precision: 0.150 -> 0.709 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Core-periphery | recall: 0.220 -> 0.865 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Core-periphery | accuracy: 0.178 -> 0.779 | Helped |
| Use NMF instead of NetRate for structure inference | Diffusion network inference · Core-periphery | correlation: 0.143 -> 0.931 | Helped |
Closest papers by meaning
- Learning Diffusions under Uncertainty (AAAI 2024 · similarity 0.88)
- Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling (NeurIPS 2024 · similarity 0.87)
- Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics (ICLR 2025 · similarity 0.87)
- A Generalized Neural Diffusion Framework on Graphs (AAAI 2024 · similarity 0.87)
- Towards a Mechanistic Explanation of Diffusion Model Generalization (ICML 2025 · similarity 0.87)
- Analyzing and Improving the Training Dynamics of Diffusion Models (CVPR 2024 · similarity 0.87)
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