atlas

Research map / Graph learning / GNN architectures

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

NeurIPS 2021 · Graph learning › GNN architectures · approach: Graph structure learning · 24 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
add self-supervised denoising to latent graph learning (ablation)SLAPS on Cora and Citeseer · Cora and CiteseeraccuracyHelped
add self-supervision to SLAPS (ablation)Cora nodes not connected to labeled nodes · Cora, unconnected test-node groupaccuracy: 38.0%Helped
add self-supervision to SLAPS (ablation)Cora nodes connected to at least one labeled node · Cora, connected test-node groupaccuracy: 8.9%Helped
add self-supervision (ablation)SLAPS with FP generator and 5 labeled nodes per class · Coraaccuracy: 16.7%Helped
add self-supervision (ablation)SLAPS with FP generator and 5 labeled nodes per class · Citeseeraccuracy: 22.0%Helped
add self-supervision (ablation)SLAPS with FP generator and 20 labeled nodes per class · Cora and Citeseeraccuracy: 10.0%; 7.0%Helped
add self-training (ablation)SLAPS · Cora, Citeseer, Cora390, Citeseer370, Pubmedaccuracy: 72.8 ± 0.8 -> 74.2 ± 0.5; 70.5 ± 1.1 -> 73.1 ± 1.0; 75.3 ± 1.0 -> 75.5 ± 0.7; 73.0 ± 0.9 -> 73.3 ± 0.6; 74.4 ± 0.6 -> 74Mixed
add AdaEdge (ablation)SLAPS · Cora, Citeseer, Cora390, Citeseer370accuracy: 72.8 ± 0.8 -> 72.8 ± 0.7; 70.5 ± 1.1 -> 70.6 ± 1.5; 75.3 ± 1.0 -> 75.2 ± 0.6; 73.0 ± 0.9 -> 72.6 ± 1.4Mixed
use self-supervision-only two-stage graph learning instead of joint label and feature objectives (ablation)SLAPS on Cora with FP generator · Coraaccuracy: +8.4%Helped
increase GCN depth from 2 to 4 layers without self-supervision (ablation)SLAPS without self-supervision · Coraaccuracy: 66.2% -> 67.1%Helped
increase GCN depth from 4 to 6 layers without self-supervision (ablation)SLAPS without self-supervision · Coraaccuracy: 67.1% -> 55.8%Hurt
use mean adjacency symmetrization rather than max or no symmetrization (ablation)SLAPS with MLP generator · Cora and CiteseeraccuracyHelped

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