Methods › Graphs › Graph Representation Learning › Graph Neural Network

Graph Neural Network

2,694 papers tagged archive 2025-07-28

Introduced by Jie Zhou et al. in Graph Neural Networks: A Review of Methods and Applications

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 2,694, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 872 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Graph Neural Network2,657
Representation Learning217
Node Classification192
Graph Learning142
Prediction123
Link Prediction116
Graph Attention108
Graph Classification103
Recommendation Systems103
Graph Representation Learning92
Classification83
Contrastive Learning72
Reinforcement Learning (RL)69
Time Series69
reinforcement-learning63
Knowledge Graphs62
Property Prediction55
Decision Making54
Drug Discovery53
Relation53

Usage over time archive 2025-07-28

Papers per year tagged with Graph Neural Network: 2018 to 2025, peak 570 570 0 2018: 1 paper 2018 2019: 156 papers 2019 2020: 292 papers 2020 2021: 427 papers 2021 2022: 474 papers 2022 2023: 537 papers 2023 2024: 570 papers 2024 2025: 237 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (2,694 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Graph Representation Learning

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