% Key papers for Graph reasoning for visual recognition (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2018_spatial_104069, title = {{Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12328}, } @inproceedings{cvpr2019_two_14952, title = {{Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_actional_13816, title = {{Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_multi_14539, title = {{Multi-Label Image Recognition With Graph Convolutional Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_skeleton_16252, title = {{Skeleton-Based Action Recognition With Shift Graph Convolutional Network}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_skeleton_14838, title = {{Skeleton-Based Action Recognition With Directed Graph Neural Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_learning_14436, title = {{Learning to Compose Dynamic Tree Structures for Visual Contexts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_graph_14260, title = {{Graph-Based Global Reasoning Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_semantic_14805, title = {{Semantic Graph Convolutional Networks for 3D Human Pose Regression}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_high_15651, title = {{High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2020_learning_101271, title = {{Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5652}, } @inproceedings{cvpr2017_the_12695, title = {{The More You Know: Using Knowledge Graphs for Image Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2019_learning_14388, title = {{Learning Actor Relation Graphs for Group Activity Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_graph_15616, title = {{Graph Structured Network for Image-Text Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2019_spatio_103478, title = {{Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4875}, } @inproceedings{cvpr2020_deep_15370, title = {{Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_explainable_14165, title = {{Explainable and Explicit Visual Reasoning Over Scene Graphs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2018_iterative_13239, title = {{Iterative Visual Reasoning Beyond Convolutions}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Iterative_Visual_Reasoning_CVPR_2018_paper.html}, } @inproceedings{cvpr2019_learning_14392, title = {{Learning Context Graph for Person Search}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_context_15273, title = {{Context Aware Graph Convolution for Skeleton-Based Action Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2024_blockgcn_22854, title = {{BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30473}, } @inproceedings{aaai2024_dynamic_5769, title = {{Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28440}, } @inproceedings{cvpr2024_signgraph_24819, title = {{SignGraph: A Sign Sequence is Worth Graphs of Nodes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30998}, } @inproceedings{aaai2024_multi_6706, title = {{Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27953}, } @inproceedings{cvpr2025_towards_27923, title = {{Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33272}, } @inproceedings{aaai2025_beyond_8246, title = {{Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33285}, } @inproceedings{cvpr2025_dvhgnn_25847, title = {{DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34054}, } @inproceedings{aaai2025_topo2seq_11020, title = {{Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33009}, } @inproceedings{aaai2025_motif_9989, title = {{Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32719}, } @inproceedings{aaai2026_graph_106496, title = {{Graph Neural Field with Spatial-Correlation Augmentation for HRTF Personalization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38803}, } @inproceedings{aaai2026_nutriscreener_108862, title = {{NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/41214}, } @inproceedings{aaai2025_sigraph_10610, title = {{SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33090}, } @inproceedings{neurips2026_grape_93998, title = {{GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/150019}, } @inproceedings{cvpr2026_beyond_97779, title = {{Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Palmer_Beyond_Scanpaths_Graph-Based_Gaze_Simulation_in_Dynamic_Scenes_CVPR_2026_paper.html}, } @inproceedings{aaai2026_hypersign_100700, title = {{HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/42440}, } @inproceedings{cvpr2024_bezier_22837, title = {{Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30005}, } @inproceedings{icml2025_scenir_48781, title = {{SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/43841}, } @inproceedings{cvpr2026_gamba_99524, title = {{Gamba: Mamba-based graph convolutional network with dynamic graph topology learning for action recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhou_Gamba_Mamba-based_graph_convolutional_network_with_dynamic_graph_topology_learning_CVPR_2026_paper.html}, }