Actor Co-occurrence Network
Task: Actor category classification
Size band: medium · Label type: semantic
Label column: actor_class · Converter: converters/convert_geomgcn.py
Actor-only induced subgraph of a film-director-actor-writer network; nodes are actors, edges are Wikipedia page co-occurrence, labels are 5 actor categories. Heterophilous benchmark (a.k.a. 'film').
Converted graphs (neext/)
| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 7,600 | 26,659 | 5 | 932 | 0 | 4: 1,965, 3: 1,815, 2: 1,630, 1: 1,337, 0: 853 |
Conversion notes: geom-gcn film out1 files; sparse keyword indices one-hot expanded to f_* columns; 5 actor classes; co-occurrence edges symmetrized.
Source
- out1_graph_edges.txt — 323,820 bytes, sha256
997cdce67ea9c292…, fetched 2026-07-23 - out1_node_feature_label.txt — 207,718 bytes, sha256
1d5cdd094f8b91e7…, fetched 2026-07-23
License: Not stated (geom-gcn repo)
Citation: Tang, Sun, Wang, Yang. Social Influence Analysis in Large-scale Networks. KDD 2009 (origin); Pei et al. ICLR 2020 (packaging).
Caveats
- Sparse keyword indices one-hot expanded to 932 f_* columns.
Generated by converters/make_cards.py; stats from metadata.json. Raw files: source/. NEExT tables: neext/.