# Graph Explainability on Tumblr

Source: [Graph Explainability on Tumblr](<https://www.sota2.com/research/sota/graph-explainability-on-tumblr>)

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

Data updated: 2026-04-08T09:07:43.499Z

Evaluation of Graph Explainability methods on the Tumblr dataset, reporting AUC metrics for edge, graph, and saliency components.

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 | Graph Explainability |
| Dataset (including any stated split) | Tumblr |
| Metric | AUC (Edge) |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [AUC (Edge)](<https://www.sota2.com/research/sota/graph-explainability-on-tumblr.md?metric=AUC%20(Edge)>): Higher is better; unit: SCALAR.

- [AUC (Graph)](<https://www.sota2.com/research/sota/graph-explainability-on-tumblr.md?metric=AUC%20(Graph)>): Higher is better; unit: SCALAR.

- [AUC (Saliency)](<https://www.sota2.com/research/sota/graph-explainability-on-tumblr.md?metric=AUC%20(Saliency)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | AUC (Edge) | Result date | Report paper |
| --- | --- | --- | --- |
| DCRNN | 0.81 | Not recorded | 68fa753b1e209131cea66992 |
| GCRN | 0.72 | Not recorded | 68fa753b1e209131cea66992 |
| GWN | 0.68 | Not recorded | 68fa753b1e209131cea66992 |

### DCRNN

AUC (Edge): 0.81. Result ID: 69d61ace47f34ce924beddf2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa753b1e209131cea66992.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64131e209131cea0293d.md>)

[Implementation](<https://github.com/liyaguang/DCRNN>)

Recorded evaluation configuration: {"Architecture":"DCRNN"}. This record does not assert independent reproduction.

### GCRN

AUC (Edge): 0.72. Result ID: 69d61ace47f34ce924beddf1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa753b1e209131cea66992.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63081e209131ce9fc7fe.md>)

Recorded evaluation configuration: {"Architecture":"GCRN"}. This record does not assert independent reproduction.

### GWN

AUC (Edge): 0.68. Result ID: 69d61ace47f34ce924beddf3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa753b1e209131cea66992.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65d51e209131cea0c8f9.md>)

[Implementation](<https://github.com/nnzhan/Graph-WaveNet>)

Recorded evaluation configuration: {"Architecture":"GWN"}. This record does not assert independent reproduction.

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