# Circuit property regression on Open Circuit Benchmark (test)

Source: [Circuit property regression on Open Circuit Benchmark (test)](<https://www.sota2.com/research/sota/circuit-property-regression-on-open-circuit-benchmark-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-16T08:18:56.197Z

Evaluation of models performing circuit property regression on the test split of the Open Circuit Benchmark dataset, measured using RMSE metrics for Gain, Bandwidth (BW), and Phase Margin (PM).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Circuit property regression |
| Dataset (including any stated split) | Open Circuit Benchmark (test) |
| Metric | Gain (RMSE) |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 32 of 32 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Gain (RMSE)](<https://www.sota2.com/research/sota/circuit-property-regression-on-open-circuit-benchmark-test.md?metric=Gain%20(RMSE)>): Lower is better; unit: SCALAR.

- [BW (RMSE)](<https://www.sota2.com/research/sota/circuit-property-regression-on-open-circuit-benchmark-test.md?metric=BW%20(RMSE)>): Lower is better; unit: SCALAR.

- [PM (RMSE)](<https://www.sota2.com/research/sota/circuit-property-regression-on-open-circuit-benchmark-test.md?metric=PM%20(RMSE)>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Gain (RMSE) | Result date | Report paper |
| --- | --- | --- | --- |
| Maglap-Multi-q | 0.35 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.359 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (best q) | 0.36 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (best q) | 0.361 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.364 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.366 | Not recorded | 68fa75191e209131cea65c40 |
| None | 0.368 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.368 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.368 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.368 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.371 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.375 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.381 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.382 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.382 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (best q) | 0.383 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.384 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.384 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.384 | Not recorded | 68fa75191e209131cea65c40 |
| None | 0.386 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.388 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.389 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.391 | Not recorded | 68fa75191e209131cea65c40 |
| None | 0.392 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (best q) | 0.398 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.405 | Not recorded | 68fa75191e209131cea65c40 |
| None | 0.416 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.416 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.42 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-Multi-q | 0.421 | Not recorded | 68fa75191e209131cea65c40 |
| Maglap-1q (q=0.01) | 0.426 | Not recorded | 68fa75191e209131cea65c40 |
| Lap | 0.43 | Not recorded | 68fa75191e209131cea65c40 |

### Maglap-Multi-q

Gain (RMSE): 0.35. Result ID: 69b7bbcc47f34ce9249f49ac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.359. Result ID: 69b7bbcc47f34ce9249f49b4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (best q)

Gain (RMSE): 0.36. Result ID: 69b7bbcc47f34ce9249f49b2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (best q)

Gain (RMSE): 0.361. Result ID: 69b7bbcc47f34ce9249f49aa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.364. Result ID: 69b7bbcc47f34ce9249f49b1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.366. Result ID: 69b7bbcc47f34ce9249f49a9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### None

Gain (RMSE): 0.368. Result ID: 69b7bbcc47f34ce9249f49a5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"N/A"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.368. Result ID: 69b7bbcc47f34ce9249f49a6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.368. Result ID: 69b7bbcc47f34ce9249f49ab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.368. Result ID: 69b7bbcc47f34ce9249f49af.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.371. Result ID: 69b7bbcc47f34ce9249f49a4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.375. Result ID: 69b7bbcc47f34ce9249f49a7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.381. Result ID: 69b7bbcc47f34ce9249f49a3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.382. Result ID: 69b7bbcc47f34ce9249f499e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.382. Result ID: 69b7bbcc47f34ce9249f49a8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"SAT (undirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-1q (best q)

Gain (RMSE): 0.383. Result ID: 69b7bbcc47f34ce9249f49a2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.384. Result ID: 69b7bbcc47f34ce9249f49a1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.384. Result ID: 69b7bbcc47f34ce9249f49ae.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.384. Result ID: 69b7bbcc47f34ce9249f49b0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### None

Gain (RMSE): 0.386. Result ID: 69b7bbcc47f34ce9249f499d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"N/A"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.388. Result ID: 69b7bbcc47f34ce9249f49a0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.389. Result ID: 69b7bbcc47f34ce9249f499c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.391. Result ID: 69b7bbcc47f34ce9249f499f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"Bidirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### None

Gain (RMSE): 0.392. Result ID: 69b7bbcc47f34ce9249f49ad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"N/A"}. This record does not assert independent reproduction.

### Maglap-1q (best q)

Gain (RMSE): 0.398. Result ID: 69b7bbcc47f34ce9249f499a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.405. Result ID: 69b7bbcc47f34ce9249f4999.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### None

Gain (RMSE): 0.416. Result ID: 69b7bbcc47f34ce9249f4995.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"N/A"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.416. Result ID: 69b7bbcc47f34ce9249f4997.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SPE"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.42. Result ID: 69b7bbcc47f34ce9249f49b3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"SAT (bidirected-GIN)","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-Multi-q

Gain (RMSE): 0.421. Result ID: 69b7bbcc47f34ce9249f499b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Maglap-1q (q=0.01)

Gain (RMSE): 0.426. Result ID: 69b7bbcc47f34ce9249f4998.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70711e209131cea4b073.md>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

### Lap

Gain (RMSE): 0.43. Result ID: 69b7bbcc47f34ce9249f4996.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e481e209131cea3ef3d.md>)

[Implementation](<https://github.com/graphdeeplearning/benchmarking-gnns>)

Recorded evaluation configuration: {"Base Model":"Undirected-GIN","PE processing":"SignNet"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
