Other Graph Benchmarks
MovieLens Film
Structure
1Graphs
18,352Nodes
1,104,162Edges
9Classes
1000Node Feature Dim
Coverage
7Results
1Variants
9-class node classification on a MovieLens/IMDb movie graph, predicting one or more of nine genre labels per film; this is not the Actor/Film dataset. Evaluated by Micro-F1.
Dataset details
Task
Movie graph with genre labels from the MovieLens/IMDb film benchmark; distinct from the five-class Actor graph sometimes called Film. The primary catalog metric is Micro-F1.
Data
Movie graph with genre labels from the MovieLens/IMDb film benchmark; distinct from the five-class Actor graph sometimes called Film. The cataloged artifact reports 1 graphs, 9 target classes or tasks.
Features
Input construction is dataset-specific and follows the cited release: program call graphs, 3D point coordinates, text-derived vectors, product attributes, or movie metadata. Added edges, neighborhood graphs, and feature normalization are preprocessing choices.
Splits and evaluation
The catalog records these protocols or variants: Standard split. Evaluation uses Micro-F1 (higher is better). Exact masks or folds must come from the cited release.
Quirks and pitfalls
These entries come from unrelated upstream benchmarks and have no shared protocol. Report the exact graph construction, split, feature pipeline, and label granularity; similarly named Film, Actor, IMDB, or Amazon artifacts are not interchangeable.
Sources
MovieLens/IMDb film graph used by Bruna et al. 2016.
SOTA Progression
new SOTA
matches SOTA at that time
other proposed result
other baseline result
Leaderboard
| # | Model | Micro-F1 ↑ | Paper |
|---|---|---|---|
| 1 | CLN-HWN-mini | 0.5750 | |
| 2 | CLN-HWN-full | 0.5740 | |
| 3 | CLN-FNN | 0.5430 | |
| 4 | SL-LR | 0.5340 | |
| 5 | HWN-noRel | 0.5080 | |
| 6 | nbC-IC | 0.4660 | |
| 7 | nbC-RL | 0.4350 |
SOTA performance
set a new SOTA at the time
matched the SOTA at the time