AI Paper Atlas

Research map / Graph learning / GNN architectures

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

AAAI 2023 · Graph learning › GNN architectures · approach: Graph structure learning · 165 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
Share only the structure encoder while keeping feature learning local (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 74.54$\pm$2.50 vs 74.08$\pm$2.45; 72.15$\pm$2.43 vs 71.30$\pm$1.89; 69.49$\pm$1.81 vs 68.76$\pm$2.24Helped
Share all parameters rather than only the structure encoder (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 74.54$\pm$2.50 vs 71.97$\pm$2.14; 72.15$\pm$2.43 vs 69.85$\pm$2.43; 69.49$\pm$1.81 vs 65.78$\pm$4.25Hurt
Share the feature encoder rather than the structure encoder (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 74.54$\pm$2.50 vs 71.00$\pm$3.51; 72.15$\pm$2.43 vs 68.53$\pm$2.74; 69.49$\pm$1.81 vs 64.14$\pm$2.73Hurt
Decouple feature and structure channels (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 70.86$\pm$2.25 -> 71.97$\pm$2.14; 69.32$\pm$2.42 -> 69.85$\pm$2.43; 65.23$\pm$2.52 -> 65.78$\pm$4.25Helped
Use both DSE and RWSE instead of all-ones structure embeddings (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 69.51$\pm$2.25 -> 74.54$\pm$2.50; 69.64$\pm$1.92 -> 72.15$\pm$2.43; 66.05$\pm$2.92 -> 69.49$\pm$1.81Helped
Add DSE when RWSE is present (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 72.74$\pm$3.44 -> 74.54$\pm$2.50; 70.48$\pm$3.37 -> 72.15$\pm$2.43; 67.23$\pm$2.74 -> 69.49$\pm$1.81Helped
Add RWSE to DSE (ablation)FedStar · BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 74.42$\pm$3.15 -> 74.54$\pm$2.50; 72.05$\pm$2.82 -> 72.15$\pm$2.43; 69.25$\pm$2.41 -> 69.49$\pm$1.81Helped
Increase local epochs from 1 to 4 (ablation)FedStar · CHEMaccuracy: 79.79$\pm$2.44 -> 80.58$\pm$2.48Helped
Increase local epochs from 1 to 4 (ablation)FedAvg · CHEMaccuracy: 75.26$\pm$2.00 -> 76.36$\pm$3.36Helped
Increase local epochs from 1 to 4 (ablation)GCFL · CHEMaccuracy: 76.49$\pm$1.23 -> 76.27$\pm$2.14No clear effect
Use FedStar instead of GCFLFederated graph classification · CHEM, BIO-CHEM, BIO-CHEM-SN, BIO-SN-CVaccuracy: 79.79$\pm$2.44 vs 76.49$\pm$1.23; 74.54$\pm$2.50 vs 71.60$\pm$2.20; 72.16$\pm$2.43 vs 70.65$\pm$1.84; 69.49$\pm$1.81 vs Helped

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