atlas

Research map / Graph learning / Graph self-supervised learning

Neighbor Contrastive Learning on Learnable Graph Augmentation

AAAI 2023 · Graph learning › Graph self-supervised learning · approach: Graph contrastive learning analysis · 121 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use learnable attention-based graph augmentation and neighbor contrastive learningNCLA · Cora, 1 label/classaccuracy: 59.1±10.9 -> 63.1±11.2Helped
use learnable attention-based graph augmentation and neighbor contrastive learningNCLA · Citeseer, 1 label/classaccuracy: 48.6±11.3 -> 52.2±13.5Helped
use learnable attention-based graph augmentation and neighbor contrastive learningNCLA · PubMed, 1 label/classaccuracy: 57.7±10.5 -> 60.2±12.4Helped
use learnable attention-based graph augmentation and neighbor contrastive learningNCLA · Coauthor-CS, 1 label/classaccuracy: 79.8±8.0 -> 83.0±6.2Helped
use learnable attention-based graph augmentation and neighbor contrastive learningNCLA · Amazon-Photo, 1 label/classaccuracy: 71.6±6.2 -> 75.6±6.0Helped
replace neighbor contrastive loss with InfoNCE (ablation)NCLA · Cora, Citeseer, PubMed, Coauthor-CS, Amazon-Photoaccuracy: 63.1 -> 60.9; 52.2 -> 48.5; 60.2 -> 59.7; 83.0 -> 80.4; 75.6 -> 75.3Hurt
replace neighbor contrastive loss with NT-Xent (ablation)NCLA · Cora, Citeseer, PubMed, Coauthor-CS, Amazon-Photoaccuracy: 63.1 -> 60.1; 52.2 -> 51.6; 60.2 -> 60.0; 83.0 -> 80.5; 75.6 -> 75.2Hurt
change intra-view neighbors from positives to negatives (ablation)NCLA · Cora, Citeseer, PubMed, Coauthor-CS, Amazon-Photoaccuracy: 63.1 -> 62.4; 52.2 -> 51.0; 60.2 -> 59.6; 83.0 -> 82.7; 75.6 -> 72.5Hurt
change inter-view neighbors from positives to negatives (ablation)NCLA · Cora, Citeseer, PubMed, Coauthor-CS, Amazon-Photoaccuracy: 63.1 -> 62.3; 52.2 -> 49.5; 60.2 -> 59.4; 83.0 -> 81.4; 75.6 -> 71.2Hurt
increase training labels from 1 to 20 per classNCLA · Cora, Citeseer, PubMed, Coauthor-CS, Amazon-Photoaccuracy: 63.1±11.2 -> 82.2±1.6; 52.2±13.5 -> 71.7±0.9; 60.2±12.4 -> 82.0±1.4; 83.0±6.2 -> 91.5±0.7; 75.6±6.0 -> 90.2±1.3Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy