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

@inproceedings{aaai2018_deeper_102337,
  title = {{Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11604},
}

@inproceedings{aaai2018_an_102515,
  title = {{An End-to-End Deep Learning Architecture for Graph Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11782},
}

@inproceedings{neurips2018_hierarchical_57200,
  title = {{Hierarchical Graph Representation Learning with Differentiable Pooling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11471},
}

@inproceedings{cvpr2019_explainability_14164,
  title = {{Explainability Methods for Graph Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_edge_14129,
  title = {{Edge-Labeling Graph Neural Network for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_graph_58353,
  title = {{Graph Transformer Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14168},
}

@inproceedings{cvpr2019_semi_14811,
  title = {{Semi-Supervised Learning With Graph Learning-Convolutional Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2019_self_37730,
  title = {{Self-Attention Graph Pooling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3965},
}

@inproceedings{aaai2021_data_358,
  title = {{Data Augmentation for Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11015-data-augmentation-for-graph-neural-networks/},
}

@inproceedings{aaai2020_asap_102135,
  title = {{ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5997},
}

@inproceedings{aaai2021_heterogeneous_703,
  title = {{Heterogeneous Graph Structure Learning for Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04697-heterogeneous-graph-structure-learning-for-graph-neural-networks/},
}

@inproceedings{neurips2018_link_57340,
  title = {{Link Prediction Based on Graph Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11505},
}

@inproceedings{neurips2019_hyperbolic_58380,
  title = {{Hyperbolic Graph Convolutional Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13633},
}

@inproceedings{aaai2019_bayesian_101816,
  title = {{Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4531},
}

@inproceedings{iclr2020_strategies_29470,
  title = {{Strategies for Pre-training Graph Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJlWWJSFDH},
}

@inproceedings{aaai2023_federated_3687,
  title = {{Federated Learning on Non-IID Graphs via Structural Knowledge Sharing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26187},
}

@inproceedings{aaai2022_graph_2169,
  title = {{Graph Structure Learning with Variational Information Bottleneck}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04165-graph-structure-learning-with-variational-information-bottleneck/},
}

@inproceedings{icml2019_gmnn_37385,
  title = {{GMNN: Graph Markov Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4121},
}

@inproceedings{aaai2020_graph_102280,
  title = {{Graph Few-Shot Learning via Knowledge Transfer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6142},
}

@inproceedings{neurips2020_graph_59969,
  title = {{Graph Random Neural Networks for Semi-Supervised Learning on Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17757},
}

@inproceedings{aaai2024_hgprompt_6179,
  title = {{HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29596},
}

@inproceedings{aaai2025_when_11291,
  title = {{When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34022},
}

@inproceedings{aaai2024_nodemixup_6781,
  title = {{NodeMixup: Tackling Under-Reaching for Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29328},
}

@inproceedings{aaai2024_deep_5635,
  title = {{Deep Contrastive Graph Learning with Clustering-Oriented Guidance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29016},
}

@inproceedings{aaai2024_g_6076,
  title = {{G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29112},
}

@inproceedings{aaai2024_aswt_5103,
  title = {{ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29307},
}

@inproceedings{aaai2024_fine_6022,
  title = {{Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28755},
}

@inproceedings{aaai2025_cluster_8425,
  title = {{Cluster-guided Contrastive Class-imbalanced Graph Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33298},
}

@inproceedings{iclr2024_neural_35423,
  title = {{Neural Common Neighbor with Completion for Link Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17650},
}

@inproceedings{aaai2025_pre_10340,
  title = {{Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33891},
}

@inproceedings{neurips2024_llms_70318,
  title = {{LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96777},
}

@inproceedings{icml2024_hypergraph_44200,
  title = {{Hypergraph-enhanced Dual Semi-supervised Graph Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34252},
}

@inproceedings{aaai2025_self_10719,
  title = {{Self-Explainable Graph Transformer for Link Sign Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33316},
}

@inproceedings{aaai2025_disentangling_8766,
  title = {{Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33308},
}

@inproceedings{aaai2025_tokenphormer_11017,
  title = {{Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33466},
}

@inproceedings{aaai2025_trust_11112,
  title = {{Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33352},
}

@inproceedings{neurips2024_mixture_72578,
  title = {{Mixture of Link Predictors on Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94794},
}

@inproceedings{aaai2024_stratified_7424,
  title = {{Stratified GNN Explanations through Sufficient Expansion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29180},
}

@inproceedings{aaai2025_skippool_10780,
  title = {{SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33929},
}

@inproceedings{icml2024_graph_43274,
  title = {{Graph External Attention Enhanced Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35178},
}