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Simplifying Graph Convolutional Networks

, , , , , and . Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 6861--6871. PMLR, (09--15 Jun 2019)

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Simplifying Graph Convolutional Networks, , , , , and . Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 6861--6871. PMLR, (09--15 Jun 2019)Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions., , and . ESANN, (2021)Distill n' Explain: explaining graph neural networks using simple surrogates., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 6199-6214. PMLR, (2023)Going beyond persistent homology using persistent homology., , and . CoRR, (2023)Learning Robust Statistics for Simulation-based Inference under Model Misspecification., , , , and . CoRR, (2023)Provably expressive temporal graph networks., , , and . NeurIPS, (2022)Pattern classification based on regional models., , , and . Appl. Soft Comput., (2022)In-n-Out: Calibrating Graph Neural Networks for Link Prediction., , , and . CoRR, (2024)ConveXplainer for Graph Neural Networks., , , and . BRACIS (2), volume 13654 of Lecture Notes in Computer Science, page 588-600. Springer, (2022)Procedural Generation of Isometric Racetracks Using Chain Code for Racing Games., , , , and . SBGames, page 136-143. IEEE, (2021)