Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency

Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, N. Chawla
2/12/2026

No official code found. Best implementation: meettyj/NOSMOG (34 stars, last commit 2023-02-28). 1 more below.

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meettyj/NOSMOGCommunity61%

Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

3410Shell, PythonFeb 28, 20233 years ago
ganzagun/exp_1_effect_of_lambdaCommunity61%

Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

00Shell, PythonMay 27, 202411 months ago

Cite this paper

@article{tian2026learning,
  title  = {Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency},
  author = {Yijun Tian and Chuxu Zhang and Zhichun Guo and Xiangliang Zhang and N. Chawla},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:889ea8c9210f49ff6e1690f5c06e626bbb1d17b0},
  journal = {ICLR 2023 2023}
}

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