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GLCC: A General Framework for Graph-Level Clustering

AAAI 2023 · Graph learning › Graph self-supervised learning · approach: Heterophily and imbalance on graphs · 48 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use GLCC instead of the strongest listed baselineGraph-level clustering with GIN representations · DDACC: 0.589 -> 0.607Helped
Use GLCC instead of the strongest listed baselineGraph-level clustering with GIN representations · AnchorQuery-10KACC: 0.239 -> 0.247Helped
Use GLCC instead of the strongest listed baselineGraph-level clustering with GIN representations · AnchorQuery-25KACC: 0.205 -> 0.228Helped
Use GLCC instead of the strongest listed baselineGraph-level clustering · IMDB-BACC: 0.583 -> 0.665Helped
Use GLCC instead of the strongest listed baselineGraph-level clustering · REDDIT-BACC: 0.577 -> 0.676Helped
Use GLCC instead of the strongest listed baselineGraph-level clustering with GIN representations · REDDIT-12KACC: 0.210 -> 0.226Helped
Add instance-level graph contrast to a cluster-contrast-only variant (ablation)GLCC · IMDB-BACC: 0.631 -> 0.640Helped
Add instance-level graph contrast to a cluster-contrast-only variant (ablation)GLCC · AnchorQuery-25KACC: 0.206 -> 0.210Helped
Add cluster-level graph contrast to an instance-contrast-only variant (ablation)GLCC · IMDB-BACC: 0.545 -> 0.640Helped
Add cluster-level graph contrast to an instance-contrast-only variant (ablation)GLCC · AnchorQuery-25KACC: 0.201 -> 0.210Helped
Add the adaptive affinity graph (ablation)GLCC with instance- and cluster-level contrast · IMDB-BACC: 0.640 -> 0.653Helped
Add the adaptive affinity graph (ablation)GLCC with instance- and cluster-level contrast · AnchorQuery-25KACC: 0.210 -> 0.217Helped

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