Methods › Graphs › Graph Models › GCNII

GCNII

7 papers tagged archive 2025-07-28

Introduced by Ming Chen et al. in Simple and Deep Graph Convolutional Networks

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

GCNII is an extension of a Graph Convolution Networks with two new techniques, initial residual and identify mapping, to tackle the problem of oversmoothing -- where stacking more layers and adding non-linearity tends to degrade performance. At each layer, initial residual constructs a skip connection from the input layer, while identity mapping adds an identity matrix to the weight matrix.

PaperSource

Papers archive 2025-07-28

7 shown of 7, 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

13 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
Node Classification5
Link Prediction2
Classification1
Generalization Bounds1
Graph Attention1
Graph Classification1
Graph Neural Network1
Graph Regression1
Knowledge Distillation1
Link Sign Prediction1
Node Classification on Non-Homophilic (Heterophilic) Graphs1
Node Property Prediction1
Variational Inference1

Usage over time archive 2025-07-28

Papers per year tagged with GCNII: 2020 to 2023, peak 3 3 0 2020: 1 paper 2020 2021: 3 papers 2021 2022: 2 papers 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (7 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 Models

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections