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 |
|---|---|---|---|---|
| 5,968 | SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization | 2022 | VLDB | 6.0248475e-05 |
| 8,247 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB | 5.4574671e-05 |
| 8,503 | Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense | 2024 | VLDB | 5.4132367e-05 |
| 9,349 | Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs | 2023 | VLDB | 5.284204e-05 |
| 9,520 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 5.2561283e-05 |
| 9,556 | CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | 2024 | SIGMOD | 5.2528121e-05 |
| 10,973 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 5.093636e-05 |
| 11,108 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 223 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00024182473 |
| 1,968 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 9.3752727e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,188 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD |
| 2 | 11,621 | Scalable Robust Graph Embedding with Spark | 2022 | VLDB |
| 3 | 13,289 | Effective Clustering for Large Multi-Relational Graphs | 2026 | SIGMOD |
| 4 | 2,640 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD |
| 5 | 4,600 | LightNE: A Lightweight Graph Processing System for Network Embedding | 2021 | SIGMOD |
| 6 | 7,900 | Distributed Graph Embedding with Information-Oriented Random Walks | 2023 | VLDB |
| 7 | 7,908 | Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach | 2024 | VLDB |
| 8 | 5,432 | Scalable and Effective Bipartite Network Embedding | 2022 | SIGMOD |
| 9 | 10,973 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB |
| 10 | 1,968 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB |