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

@inproceedings{aaai2019_session_99711,
  title = {{Session-Based Recommendation with Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3804},
}

@inproceedings{aaai2019_gamenet_100197,
  title = {{GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3905},
}

@inproceedings{aaai2021_knowledge_836,
  title = {{Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04486-knowledge-enhanced-hierarchical-graph-transformer-network-for-multi-behavior-recommendation/},
}

@inproceedings{cvpr2020_recursive_16098,
  title = {{Recursive Social Behavior Graph for Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_graph_681,
  title = {{Graph Heterogeneous Multi-Relational Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03958-graph-heterogeneous-multi-relational-recommendation/},
}

@inproceedings{aaai2021_knowledge_839,
  title = {{Knowledge-aware Coupled Graph Neural Network for Social Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04115-knowledge-aware-coupled-graph-neural-network-for-social-recommendation/},
}

@inproceedings{cvpr2023_dynamic_20859,
  title = {{Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22561},
}

@inproceedings{aaai2024_lgmrec_6399,
  title = {{LGMRec: Local and Global Graph Learning for Multimodal Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28688},
}

@inproceedings{aaai2020_an_99736,
  title = {{An Attentional Recurrent Neural Network for Personalized Next Location Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5337},
}

@inproceedings{aaai2020_multi_102232,
  title = {{Multi-Component Graph Convolutional Collaborative Filtering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6094},
}

@inproceedings{aaai2022_heterogeneity_2187,
  title = {{Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03977-heterogeneity-aware-twitter-bot-detection-with-relational-graph-transformers/},
}

@inproceedings{neurips2019_social_58993,
  title = {{Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13259},
}

@inproceedings{aaai2021_graph_687,
  title = {{Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04123-graph-enhanced-multi-task-learning-of-multi-level-transition-dynamics-for-session-based-recommendation/},
}

@inproceedings{aaai2020_instance_101275,
  title = {{Instance-Adaptive Graph for EEG Emotion Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5656},
}

@inproceedings{cvpr2024_dynamic_23292,
  title = {{Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31704},
}

@inproceedings{cvpr2023_histopathology_21172,
  title = {{Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21926},
}

@inproceedings{aaai2023_next_4249,
  title = {{Next POI Recommendation with Dynamic Graph and Explicit Dependency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25608},
}

@inproceedings{aaai2023_a_3022,
  title = {{A Set of Control Points Conditioned Pedestrian Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25759},
}

@inproceedings{aaai2018_ranking_100323,
  title = {{Ranking Users in Social Networks With Higher-Order Structures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11287},
}

@inproceedings{aaai2024_dual_5758,
  title = {{Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27777},
}

@inproceedings{cvpr2024_higher_23705,
  title = {{Higher-order Relational Reasoning for Pedestrian Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31366},
}

@inproceedings{aaai2025_praga_10250,
  title = {{PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32010},
}

@inproceedings{cvpr2024_tumor_25091,
  title = {{Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30421},
}

@inproceedings{aaai2025_feature_9158,
  title = {{Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33309},
}

@inproceedings{cvpr2025_merge_26852,
  title = {{MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32477},
}

@inproceedings{aaai2024_you_7837,
  title = {{You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29945},
}

@inproceedings{aaai2025_learning_9724,
  title = {{Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32022},
}

@inproceedings{aaai2024_estimating_5874,
  title = {{Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30257},
}

@inproceedings{aaai2025_lightweight_9794,
  title = {{Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33445},
}

@inproceedings{aaai2025_accurate_7999,
  title = {{Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33966},
}

@inproceedings{cvpr2024_xfibrosis_25297,
  title = {{XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30883},
}

@inproceedings{neurips2024_learning_73757,
  title = {{Learning Cooperative Trajectory Representations for Motion Forecasting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93746},
}

@inproceedings{aaai2025_hi_9388,
  title = {{HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33301},
}

@inproceedings{aaai2025_multi_10055,
  title = {{Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33453},
}

@inproceedings{cvpr2025_multi_27030,
  title = {{Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34913},
}

@inproceedings{neurips2024_disengcd_73653,
  title = {{DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93839},
}

@inproceedings{aaai2024_multisum_6714,
  title = {{MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29939},
}