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

@inproceedings{aaai2017_community_99779,
  title = {{Community Preserving Network Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10488},
}

@inproceedings{aaai2020_unsupervised_102123,
  title = {{Unsupervised Attributed Multiplex Network Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5985},
}

@inproceedings{aaai2017_scalable_104501,
  title = {{Scalable Graph Embedding for Asymmetric Proximity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10878},
}

@inproceedings{cvpr2019_label_14370,
  title = {{Label Efficient Semi-Supervised Learning via Graph Filtering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_auto_15168,
  title = {{Auto-Encoding Twin-Bottleneck Hashing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2019_compositional_37239,
  title = {{Compositional Fairness Constraints for Graph Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3936},
}

@inproceedings{aaai2023_heterogeneous_3824,
  title = {{Heterogeneous Graph Masked Autoencoders}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26192},
}

@inproceedings{aaai2018_beyond_102513,
  title = {{Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11780},
}

@inproceedings{neurips2017_deep_56240,
  title = {{Deep Learning with Topological Signatures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8954},
}

@inproceedings{aaai2017_joint_99780,
  title = {{Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10489},
}

@inproceedings{aaai2019_outlier_99670,
  title = {{Outlier Aware Network Embedding for Attributed Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3763},
}

@inproceedings{neurips2020_handling_59988,
  title = {{Handling Missing Data with Graph Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18012},
}

@inproceedings{neurips2021_subgraph_62262,
  title = {{Subgraph Federated Learning with Missing Neighbor Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26947},
}

@inproceedings{aaai2021_relative_1263,
  title = {{Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04267-relative-and-absolute-location-embedding-for-few-shot-node-classification-on-graph/},
}

@inproceedings{cvpr2022_node_19458,
  title = {{Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_beyond_3183,
  title = {{Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25573},
}

@inproceedings{aaai2020_type_99744,
  title = {{Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5345},
}

@inproceedings{neurips2019_learning_58522,
  title = {{Learning metrics for persistence-based summaries and applications for graph classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14013},
}

@inproceedings{aaai2023_glcc_3748,
  title = {{GLCC: A General Framework for Graph-Level Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25559},
}

@inproceedings{neurips2019_learning_58536,
  title = {{Learning to Propagate for Graph Meta-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13330},
}

@inproceedings{aaai2025_revolutionizing_10559,
  title = {{Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32091},
}

@inproceedings{aaai2024_structural_7427,
  title = {{Structural Entropy Based Graph Structure Learning for Node Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28679},
}

@inproceedings{aaai2024_motif_6676,
  title = {{Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28754},
}

@inproceedings{aaai2024_towards_7588,
  title = {{Towards Effective and General Graph Unlearning via Mutual Evolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29273},
}

@inproceedings{aaai2024_every_5882,
  title = {{Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29664},
}

@inproceedings{aaai2024_gldl_6086,
  title = {{GLDL: Graph Label Distribution Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29194},
}

@inproceedings{aaai2024_link_6537,
  title = {{Link Prediction in Multilayer Networks via Cross-Network Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28742},
}

@inproceedings{aaai2025_graphmore_9371,
  title = {{GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33279},
}

@inproceedings{aaai2025_fairgp_9133,
  title = {{FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33342},
}

@inproceedings{aaai2025_social_10787,
  title = {{Social Recommendation via Graph-Level Counterfactual Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32011},
}

@inproceedings{aaai2025_agmixup_7961,
  title = {{AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34107},
}

@inproceedings{aaai2025_thesaurus_10906,
  title = {{THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33779},
}

@inproceedings{neurips2024_beyond_74501,
  title = {{Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93075},
}

@inproceedings{aaai2024_poincar_6957,
  title = {{Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28767},
}

@inproceedings{aaai2025_modeling_9981,
  title = {{Modeling Inter-Intra Heterogeneity for Graph Federated Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34378},
}

@inproceedings{aaai2025_fair_9129,
  title = {{Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35071},
}

@inproceedings{aaai2025_multiplex_10075,
  title = {{Multiplex Graph Representation Learning with Homophily and Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33288},
}

@inproceedings{neurips2024_gc_72251,
  title = {{GC-Bench: An Open and Unified Benchmark for Graph Condensation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97681},
}

@inproceedings{aaai2024_disentangled_5713,
  title = {{Disentangled Partial Label Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28976},
}

@inproceedings{aaai2025_sub_10866,
  title = {{Sub-Interest-Aware Representation Uniformity for Recommender System}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33345},
}