% Key papers for Oversmoothing and heterophily (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2019_predict_28873,
  title = {{Predict then Propagate: Graph Neural Networks meet Personalized PageRank}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1117},
}

@inproceedings{icml2019_mixhop_37544,
  title = {{MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3702},
}

@inproceedings{iclr2020_pairnorm_29822,
  title = {{PairNorm: Tackling Oversmoothing in GNNs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rkecl1rtwB},
}

@inproceedings{iclr2020_graph_29599,
  title = {{Graph Neural Networks Exponentially Lose Expressive Power for Node Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1ldO2EFPr},
}

@inproceedings{icml2019_learning_37476,
  title = {{Learning Discrete Structures for Graph Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4197},
}

@inproceedings{aaai2021_graphmix_691,
  title = {{GraphMix: Improved Training of GNNs for Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10024-graphmix-improved-training-of-gnns-for-semi-supervised-learning/},
}

@inproceedings{aaai2020_hybrid_103732,
  title = {{Hybrid Graph Neural Networks for Crowd Counting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6839},
}

@inproceedings{aaai2020_motif_102125,
  title = {{Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5987},
}

@inproceedings{iclr2022_is_31782,
  title = {{Is Homophily a Necessity for Graph Neural Networks?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6329},
}

@inproceedings{neurips2020_graphon_59971,
  title = {{Graphon Neural Networks and the Transferability of Graph Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18006},
}

@inproceedings{aaai2024_pc_6888,
  title = {{PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29246},
}

@inproceedings{aaai2019_geometric_101701,
  title = {{Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4416},
}

@inproceedings{iclr2018_deep_28649,
  title = {{Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/310},
}

@inproceedings{aaai2022_bscnets_1769,
  title = {{BScNets: Block Simplicial Complex Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06333-bscnets-block-simplicial-complex-neural-networks/},
}

@inproceedings{aaai2024_higher_6216,
  title = {{Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29160},
}

@inproceedings{aaai2018_generalized_106060,
  title = {{Generalized Value Iteration Networks:Life Beyond Lattices}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12081},
}

@inproceedings{cvpr2022_skinningnet_19892,
  title = {{SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2021_pde_63483,
  title = {{PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27576},
}

@inproceedings{aaai2024_spectral_7394,
  title = {{Spectral-Based Graph Neural Networks for Complementary Item Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28734},
}

@inproceedings{aaai2025_deep_8674,
  title = {{Deep Hypergraph Neural Networks with Tight Framelets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34023},
}

@inproceedings{aaai2025_autosgnn_8192,
  title = {{AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34146},
}

@inproceedings{aaai2024_sea_7216,
  title = {{SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29058},
}

@inproceedings{aaai2024_towards_7603,
  title = {{Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29292},
}

@inproceedings{icml2024_networked_43960,
  title = {{Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34492},
}

@inproceedings{neurips2025_less_78870,
  title = {{Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jCGwSLwOt9},
}

@inproceedings{neurips2024_graph_73824,
  title = {{Graph Neural Networks Do Not Always Oversmooth}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93683},
}

@inproceedings{iclr2024_bounding_33941,
  title = {{Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19134},
}

@inproceedings{aaai2025_integrating_9579,
  title = {{Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34087},
}

@inproceedings{iclr2024_graph_35020,
  title = {{Graph Metanetworks for Processing Diverse Neural Architectures}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18054},
}

@inproceedings{icml2024_understanding_45702,
  title = {{Understanding Heterophily for Graph Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32750},
}

@inproceedings{iclr2025_graph_83410,
  title = {{Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28406},
}

@inproceedings{aaai2026_morgan_107201,
  title = {{MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39553},
}

@inproceedings{icml2024_gate_44457,
  title = {{GATE: How to Keep Out Intrusive Neighbors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33995},
}

@inproceedings{icml2024_graph_45678,
  title = {{Graph Automorphism Group Equivariant Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32774},
}

@inproceedings{icml2025_graph_46137,
  title = {{Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46423},
}

@inproceedings{icml2026_hierarchical_52561,
  title = {{Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=XCS8MF4XKd},
}