Methods › Graphs › Graph Representation Learning › GCA

Graph Contrastive learning with Adaptive augmentation

GCA

16 papers tagged archive 2025-07-28

Introduced by Yanqiao Zhu et al. in Graph Contrastive Learning with Adaptive Augmentation

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

16 shown of 16, 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 24 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
Contrastive Learning2
Node Classification2
Object Detection2
Segmentation2
Semantic Segmentation2
object-detection2
Adversarial Robustness1
Attribute1
Benchmarking1
Data Augmentation1
Decoder1
Dialogue State Tracking1
Direction of Arrival Estimation1
Graph Classification1
Graph Generation1
Graph Representation Learning1
Image Restoration1
Image Segmentation1
Object1
Protein Design1

Usage over time archive 2025-07-28

Papers per year tagged with GCA: 2020 to 2024, peak 5 5 0 2020: 3 papers 2020 2021: 2 papers 2021 2022: 2 papers 2022 2023: 5 papers 2023 2024: 4 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (16 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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