Research graph
References from Canonical and Compact Representations in Small Language Model Graph Classification. Local targets link to admitted publications; unresolved targets remain external evidence.
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Weisfeiler-Lehman graph kernels
2011 · External reference
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Inductive representation learning on large graphs
2017 · External reference
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Do transformers really perform badly for graph representation?
2021 · External reference
Recipe for a general, powerful, scalable graph transformer
2022 · External reference
Graph contrastive learning with augmentations
2020 · External reference
10.1109/tvt.2026.3714895
10.1109/tvt.2026.3714895 · External reference
Spatial-channel collaborative multi-scale graph interaction deep transfer learning for unsupervised rotating machinery fault diagnosis
10.1016/j.engappai.2026.114691 · 2026 · External reference
Graph2text or Graph2token: A perspective of large language models for graph learning
10.1145/3786600 · 2026 · External reference
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Can language models solve graph problems in natural language?
10.52202/075280-1345 · 2023 · External reference
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10.1145/3626772.3657775
10.1145/3626772.3657775 · External reference
Small language models as graph classifiers: Evaluating and improving permutation robustness
2026 · External reference
Practical graph isomorphism, II
10.1016/j.jsc.2013.09.003 · 2014 · External reference
10.1137/1.9781611972870.13
10.1137/1.9781611972870.13 · External reference
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10.1145/3219819.3219991
10.1145/3219819.3219991 · External reference
10.18653/v1/2021.emnlp-main.243
10.18653/v1/2021.emnlp-main.243 · External reference
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Multi-view learning overview: Recent progress and new challenges
10.1016/j.inffus.2017.02.007 · 2017 · External reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · 1992 · External reference
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