% Key papers for Semi-supervised node representation learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2017_semi_28316,
  title = {{Semi-Supervised Classification with Graph Convolutional Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJU4ayYgl},
}

@inproceedings{neurips2017_inductive_56381,
  title = {{Inductive Representation Learning on Large Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8896},
}

@inproceedings{aaai2019_hypergraph_101543,
  title = {{Hypergraph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4235},
}

@inproceedings{cvpr2017_dynamic_12225,
  title = {{Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2016_deep_105007,
  title = {{Deep Neural Networks for Learning Graph Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10179},
}

@inproceedings{icml2018_representation_36958,
  title = {{Representation Learning on Graphs with Jumping Knowledge Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2453},
}

@inproceedings{neurips2016_diffusion_55680,
  title = {{Diffusion-Convolutional Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7077},
}

@inproceedings{icml2020_contrastive_38048,
  title = {{Contrastive Multi-View Representation Learning on Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6085},
}

@inproceedings{iclr2018_few_28437,
  title = {{Few-Shot Learning with Graph Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/43},
}

@inproceedings{iclr2019_deep_29189,
  title = {{Deep Graph Infomax}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/782},
}

@inproceedings{aaai2018_harp_105740,
  title = {{HARP: Hierarchical Representation Learning for Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11849},
}

@inproceedings{icml2016_revisiting_35966,
  title = {{Revisiting Semi-Supervised Learning with Graph Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/yanga16.html},
}

@inproceedings{aaai2020_multi_102186,
  title = {{Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6048},
}

@inproceedings{cvpr2020_dpgn_15332,
  title = {{DPGN: Distribution Propagation Graph Network for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_deep_378,
  title = {{Deep Fusion Clustering Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09978-deep-fusion-clustering-network/},
}

@inproceedings{aaai2022_deep_1937,
  title = {{Deep Graph Clustering via Dual Correlation Reduction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/07603-deep-graph-clustering-via-dual-correlation-reduction/},
}

@inproceedings{aaai2020_an_101971,
  title = {{An Attention-Based Graph Neural Network for Heterogeneous Structural Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5833},
}

@inproceedings{aaai2018_interpreting_102552,
  title = {{Interpreting CNN Knowledge via an Explanatory Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11819},
}

@inproceedings{neurips2020_iterative_60116,
  title = {{Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18758},
}

@inproceedings{icml2019_graph_37409,
  title = {{Graph U-Nets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3676},
}

@inproceedings{aaai2024_gramformer_6147,
  title = {{Gramformer: Learning Crowd Counting via Graph-Modulated Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28126},
}

@inproceedings{aaai2024_robust_7174,
  title = {{Robust Node Classification on Graph Data with Graph and Label Noise}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29668},
}

@inproceedings{aaai2024_hypergraph_6239,
  title = {{Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28775},
}

@inproceedings{aaai2024_a_5074,
  title = {{A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29648},
}

@inproceedings{aaai2024_transitivity_7648,
  title = {{Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29138},
}

@inproceedings{aaai2024_empowering_5827,
  title = {{Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28774},
}

@inproceedings{aaai2024_refining_7089,
  title = {{Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28741},
}

@inproceedings{icml2024_less_45619,
  title = {{Less is More: on the Over-Globalizing Problem in Graph Transformers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32833},
}

@inproceedings{aaai2024_unsupervised_7721,
  title = {{Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28949},
}

@inproceedings{aaai2025_bootstrapping_8290,
  title = {{Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33837},
}

@inproceedings{aaai2026_high_107117,
  title = {{High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39469},
}

@inproceedings{neurips2024_cluster_70379,
  title = {{Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96721},
}

@inproceedings{neurips2024_hc_73264,
  title = {{HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94176},
}

@inproceedings{neurips2025_self_75229,
  title = {{Self-Supervised Learning of Graph Representations for Network Intrusion Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5bu1IOOvf0},
}

@inproceedings{aaai2025_dhakr_8607,
  title = {{DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34202},
}

@inproceedings{iclr2024_vcr_34473,
  title = {{VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18601},
}

@inproceedings{icml2024_translating_45742,
  title = {{Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32710},
}

@inproceedings{neurips2024_leveraging_74262,
  title = {{Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93294},
}

@inproceedings{aaai2026_fairgc_107694,
  title = {{FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40046},
}

@inproceedings{iclr2024_effective_34040,
  title = {{Effective Structural Encodings via Local Curvature Profiles}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19035},
}