# Inductive Link Prediction on MT1 tax

Source: [Inductive Link Prediction on MT1 tax](<https://www.sota2.com/research/sota/inductive-link-prediction-on-mt1-tax>)

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

Data updated: 2026-02-26T05:50:29.171Z

Evaluation of Inductive Link Prediction performance on the MT1 tax dataset, measured using MRR and H@10.

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 | Inductive Link Prediction |
| Dataset (including any stated split) | MT1 tax |
| Metric | MRR |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [MRR](<https://www.sota2.com/research/sota/inductive-link-prediction-on-mt1-tax.md?metric=MRR>): Higher is better; unit: SCALAR.

- [H@10](<https://www.sota2.com/research/sota/inductive-link-prediction-on-mt1-tax.md?metric=H%4010>): Higher is better; unit: SCALAR.

## Recorded results

| Method | MRR | Result date | Report paper |
| --- | --- | --- | --- |
| HYPER | 0.234 | Not recorded | 68fa79671e209131cea7d6d1 |
| ULTRA | 0.224 | Not recorded | 68fa79671e209131cea7d6d1 |
| HYPER | 0.204 | Not recorded | 68fa79671e209131cea7d6d1 |
| HYPER | 0.2 | Not recorded | 68fa79671e209131cea7d6d1 |

### HYPER

MRR: 0.234. Result ID: 699a6d075698665ec4f5919d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

Recorded evaluation configuration: {"Inference Mode":"Zero-shot","Variant":"3KG"}. This record does not assert independent reproduction.

### ULTRA

MRR: 0.224. Result ID: 699a6d075698665ec4f5919c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72dc1e209131cea58fea.md>)

[Implementation](<https://github.com/DeepGraphLearning/ULTRA>)

Recorded evaluation configuration: {"Inference Mode":"Zero-shot","Variant":"3G"}. This record does not assert independent reproduction.

### HYPER

MRR: 0.204. Result ID: 699a6d075698665ec4f5919f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

Recorded evaluation configuration: {"Inference Mode":"Zero-shot","Variant":"3KG + 2HG"}. This record does not assert independent reproduction.

### HYPER

MRR: 0.2. Result ID: 699a6d075698665ec4f5919e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79671e209131cea7d6d1.md>)

Recorded evaluation configuration: {"Inference Mode":"Zero-shot","Variant":"4HG"}. This record does not assert independent reproduction.

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