Scaling Attributed Network Embedding to Massive Graphs
Summary: PANE scales attributed network embedding to massive graphs via a random-walk objective, fast initialization, and multicore optimization. It delivers state-of-the-art quality and is the only viable single-server solution for 59M-node MAG within 12 hours. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Renchi Yang (Nanyang Technological University)
- 2. Jieming Shi (Hong Kong Polytechnic University)
- 3. Xiaokui Xiao (National University of Singapore)
- 4. Yin Yang (Hamad Bin Khalifa University)
- 5. Juncheng Liu (National University of Singapore)
- 6. Sourav S. Bhowmick (Nanyang Technological University)
BibTeX Citation
@article{yang_vldb21,
title = {{Scaling Attributed Network Embedding to Massive Graphs}},
author = {Yang, Renchi and Shi, Jieming and Xiao, Xiaokui and Yang, Yin and Liu, Juncheng and Bhowmick, Sourav S.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {1},
pages = {37--49},
doi = {10.14778/3421424.3421430},
url = {https://doi.org/10.14778/3421424.3421430},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,124 | SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization | 2022 | VLDB | 6.2624516e-05 |
| 8,415 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB | 5.3350162e-05 |
| 8,670 | Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense | 2024 | VLDB | 5.2917782e-05 |
| 9,528 | Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs | 2023 | VLDB | 5.1656406e-05 |
| 9,700 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 5.1381949e-05 |
| 9,734 | CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | 2024 | SIGMOD | 5.1349531e-05 |
| 11,359 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 4.9793485e-05 |
| 11,458 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 211 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00024816965 |
| 1,835 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 9.5368647e-05 |
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| 7 | 8,077 | Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach | 2024 | VLDB |
| 8 | 5,562 | Scalable and Effective Bipartite Network Embedding | 2022 | SIGMOD |
| 9 | 11,359 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB |
| 10 | 1,835 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB |