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Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models (CIKM 2020)
- Benedek Rozemberczki and Rik Sarkar
- [Paper]
- [Python Karate Club]
- [Python Reference]
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Explainable Classification of Brain Networks via Contrast Subgraphs (KDD 2020)
- Tommaso Lanciano, Francesco Bonchi, and Aristides Gionis
- [Paper]
- [Python Reference]
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Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs (WWW 2020)
- Anton Tsitsulin, Marina Munkhoeva, and Bryan Perozzi
- [Paper]
- [Python Reference]
- A Simple Yet Effective Baseline for Non-Attribute Graph Classification (ICLR RLPM 2019)
- Chen Cai and Yusu Wang
- [Paper]
- [Python Reference]
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Multi-Graph Multi-Label Learning Based on Entropy (Entropy 2018)
- Zixuan Zhu and Yuhai Zhao
- [Paper]
- [Python Reference]
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NetLSD: Hearing the Shape of a Graph (KDD 2018)
- Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alex Bronstein, and Emmanuel Müller
- [Paper]
- [Python Reference]
- [Python Karate Club]
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A Simple Baseline Algorithm for Graph Classification (Relational Representation Learning NIPS 2018)
- Nathan de Lara and Edouard Pineau
- [Paper]
- [Python Karate Club]
- [Python]
- Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs (NIPS 2017)
- Saurabh Verma and Zhi-Li Zhang
- [Paper]
- [Matlab Reference]
- [Python Karate Club]
- Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (TKDE 2015)
- Shirui Pan, Jia Wu, Xingquan Zhuy, Chengqi Zhang, and Philip S. Yuz
- [Paper]
- [Java Reference]