WebMILE: Democratizing Network Representation Learning at Scale
Summary: Democratizes network representation learning by letting user-provided embedding methods scale on large graphs via WebMILE. Docker-based, GUI, multi-level MILE/DistMILE backends run unsupervised NRL on large graphs, boosting domain researchers' productivity. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuntian He
- 2. Yue Zhang
- 3. Saket Gurukar
- 4. Srinivasan Parthasarathy
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,287 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB | 7.2739447e-05 |
| 6,002 | Demo of Marius: A System for Large-scale Graph Embeddings | 2021 | VLDB | 5.2415551e-05 |
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