| { |
| "name": "reddit-graphsage", |
| "sources": [ |
| { |
| "url": "https://snap.stanford.edu/graphsage/reddit.zip", |
| "final_url": "https://snap.stanford.edu/graphsage/reddit.zip", |
| "filename": "reddit.zip", |
| "bytes": 1308432264, |
| "sha256": "25337a21540cd373e4cee3751e6600324ab6a7377ef3966bb49f57412a17ed02", |
| "downloaded_at": "2026-07-23T02:16:38+00:00" |
| } |
| ], |
| "conversion": { |
| "script": "convert_large.py", |
| "label_column": "subreddit", |
| "nodes_in_source_json": 231443, |
| "notes": "GraphSAGE node-link json streamed as bytes (links regex-extracted); 41 subreddit classes as ints; label-only nodes.csv (602-dim GloVe features left in source zip).", |
| "parquet": true, |
| "parquet_notes": "nodes.parquet includes the full feature matrix omitted from nodes.csv for size." |
| }, |
| "graphs": { |
| "default": { |
| "nodes": 232965, |
| "edges": 11606919, |
| "label_column": "subreddit", |
| "classes": 41, |
| "class_counts": { |
| "15": 28272, |
| "3": 15181, |
| "18": 13999, |
| "0": 13101, |
| "38": 12797, |
| "23": 12146, |
| "8": 11187, |
| "19": 10308, |
| "22": 8222, |
| "27": 5962, |
| "40": 5112, |
| "29": 5101, |
| "33": 4960, |
| "10": 4928, |
| "14": 4854, |
| "28": 4673, |
| "31": 4570, |
| "26": 4239, |
| "37": 4233, |
| "35": 4202, |
| "36": 4180, |
| "21": 4066, |
| "6": 3952, |
| "5": 3597, |
| "1": 3550, |
| "34": 3429, |
| "2": 3302, |
| "39": 3099, |
| "11": 2964, |
| "30": 2846, |
| "13": 2731, |
| "17": 2639, |
| "4": 2322, |
| "9": 2246, |
| "7": 2138, |
| "12": 1696, |
| "25": 1659, |
| "20": 1596, |
| "32": 1575, |
| "16": 1003, |
| "24": 328 |
| }, |
| "isolated_nodes": 1522, |
| "feature_columns": 0 |
| } |
| }, |
| "title": "Reddit (GraphSAGE)", |
| "band": "large", |
| "label_type": "semantic", |
| "task": "Subreddit classification of posts", |
| "license": "SNAP research use; cite GraphSAGE", |
| "citation": "Hamilton, Ying, Leskovec. Inductive Representation Learning on Large Graphs. NeurIPS 2017.", |
| "links": [ |
| "https://snap.stanford.edu/graphsage/" |
| ] |
| } |
|
|
