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EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

Summary: EARLY proposes an efficient and reliable GNN update mechanism for dynamic graphs. It identifies top-k influential nodes affected by events and applies diversity-aware, layer-wise sampling to curb neighbor redundancy, reducing sampling error and yielding more reliable representations under continuous updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf0b1a121c893b4fe
Venue
SIGMOD
Year
2023
Pagerank
5.8110274e-05
Overall Rank
6,328 | 57.47%
DOI
10.1145/3589308

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod23,
        title = {{EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs}},
        author = {Li, Haoyang and Chen, Lei},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589308},
        url = {https://dl.acm.org/doi/10.1145/3589308},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
5,315 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.1828165e-05
6,168 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.8603375e-05
8,678 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2892731e-05
10,546 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.9769913e-05
10,716 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.9769913e-05
11,075 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.9769913e-05
11,207 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 4.9769913e-05
11,322 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 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 0.00024805216
556 Fast Incremental and Personalized PageRank 2011 VLDB 0.00016492651
881 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013272536
964 Fast Personalized PageRank on MapReduce 2011 SIGMOD 0.00012814643
1,365 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010908985
1,836 Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank 2020 VLDB 9.53235e-05
2,258 Regular Path Query Evaluation on Streaming Graphs 2020 SIGMOD 8.7393197e-05
2,281 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 8.7021423e-05
2,442 ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network 2021 VLDB 8.4581267e-05
2,941 Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed 2022 VLDB 7.8297732e-05
3,286 Camel: Managing Data for Efficient Stream Learning 2022 SIGMOD 7.4524975e-05
3,899 Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization 2021 VLDB 6.9325861e-05
4,998 Medical Entity Disambiguation Using Graph Neural Networks 2021 SIGMOD 6.3199537e-05
5,223 Efficient Streaming Subgraph Isomorphism with Graph Neural Networks 2021 VLDB 6.2201582e-05
5,564 Scalable and Effective Bipartite Network Embedding 2022 SIGMOD 6.081296e-05
6,092 METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting 2022 VLDB 5.8876757e-05
6,678 Reliable Data Distillation on Graph Convolutional Network 2020 SIGMOD 5.7098648e-05
9,694 Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks 2022 VLDB 5.1384087e-05
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