Methods › Graphs › Graph Representation Learning › iGCL

Implicit Graph Contrastive Learning

iGCL

4 papers tagged archive 2025-07-28

Introduced by Huidong Liang et al. in Graph Contrastive Learning with Implicit Augmentations

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

The archive carries only a placeholder description for this method.

PaperSource

Papers archive 2025-07-28

4 shown of 4, 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

10 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 Learning3
Graph Classification1
Node Classification1
Object1
Object Detection1
Prediction1
Region Proposal1
Time Series1
Weakly Supervised Object Detection1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with iGCL: 2022 to 2024, peak 2 2 0 2022: 1 paper 2022 2023: 2 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (4 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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