Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
Summary: Tutorial surveys graph-parallel systems beyond Pregel-style vertex-centric iteration, emphasizing task-centric execution for expensive subgraph search and scalable GNN training. It categorizes design techniques enabling heterogeneous, composable graph analytics pipelines. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Da Yan (Indiana University)
- 2. Lyuheng Yuan (Indiana University)
- 3. Akhlaque Ahmad (Indiana University)
- 4. Saugat Adhikari (Indiana University)
BibTeX Citation
@article{yan_vldb25,
title = {{Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods}},
author = {Yan, Da and Yuan, Lyuheng and Ahmad, Akhlaque and Adhikari, Saugat},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5460--5465},
doi = {10.14778/3750601.3750695},
url = {https://doi.org/10.14778/3750601.3750695},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,622 | Revisiting Graph Analytics Benchmark | 2025 | SIGMOD | 5.2434488e-05 |
| 11,064 | Property Graph Standards: State of the Art & Open Challenges | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,654 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD |
| 2 | 1,048 | AGL: A Scalable System for Industrial-purpose Graph Machine Learning | 2020 | VLDB |
| 3 | 4,859 | Machine Learning for Big Data | 2013 | SIGMOD |
| 4 | 2,640 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD |
| 5 | 9,729 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB |
| 6 | 5,833 | Managing and Mining Large Graphs: Systems and Implementations | 2012 | SIGMOD |
| 7 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 8 | 4,787 | Systems for Big-Graphs | 2014 | VLDB |
| 9 | 6,450 | Big Graph Analytics Systems | 2016 | SIGMOD |
| 10 | 11,067 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |