Awesome Scene & Visual Graphs
Scene & Visual Graphs is one of the most active areas in Awesome Graph Learning β 260 papers in this collection, evaluated on datasets like MNIST, MELD, CIFAR-10. A strong starting point is "Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections".
Datasets & benchmarks
Key papers
- Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections (2024)Youwei Zhou and Tianyang Xu and Cong Wu and Xiaojun Wu and Josef Kittler6.85
- Driving Decision-Making at Freeway Weaving Segments Using Relational Graph Attention Network and Deep Reinforcement Learning (2026)Zijin Wang et al.5.58
- X-Node: Self-Explanation is All We Need (2025)Prajit Sengupta and Islem Rekik4.78
- SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning (2026)Zhihua Wang et al.4.39
- Graph Set Transformer (2026)Jose E. Escrig Molina et al.4.39
- HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation (2026)Nikita Klimenko et al.4.33
- Learning Dynamic Stability Landscapes in Synchronization Networks (2026)Christian Nauck et al.4.33
- TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph (2026)Yiming Xu et al.4.33
- Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification (2026)Pedro Henrique da Costa Avelar et al.4.33
- SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval (2025)Nikolaos Chaidos et al.3.81
- Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification (2026)Rafael Mendon\c{c}a Duarte et al.3.45
- A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data (2025)Jingjun Bi et al.3.15
- From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images (2025)Dehn Xu et al.3.04
- Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based
Image Classification (2025)Nikolaos Chaidos et al.2.82
- GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network (2024)Xianfeng Song et al.2.60
- Graph attention and multi-neural memory networks for fake news detection: FakeDetectNet framework (2026)Dheeraj kumar dixit et al.2.00
- Lightweight Graph Attention Network-Based Framework for Intelligent Frangipani Leaf Disease Classification (2026)Shahriar Marjan et al.2.00
- MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation (2026)Zhe Feng et al.1.89
- Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors (2026)Junbin Zhang et al.1.89
- Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems (2026)Charbel Bou Chaaya and Mehdi Bennis1.89
- Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction (2026)Tong Duy Son et al.1.89
- Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions (2026)Huan Lin et al.1.89
- Hierarchical Vision Transformer Enhanced by Graph Convolutional Network for Image Classification (2026)Haibin Jiao1.89
- FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing (2026)Pronob Kumar Barman et al.1.89
- Conformal Graph Prediction with Z-Gromov Wasserstein Distances (2026)Gabriel Melo et al.1.83
- MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks (2026)Zhi Hong et al.1.83
- Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks (2026)Ke Yu et al.1.83
- SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition (2026)Shilong Chen et al.1.83
- A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks (2026)Mohamad Alkadamani et al.1.83
- HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification (2026)Marjan Stoimchev and Boshko Koloski and Jurica Levati\'c and Dragi Kocev and Sa\v{s}o D\v{z}eroski1.83
- Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling (2026)Akshansh Mishra1.83
- Masked BRep Autoencoder via Hierarchical Graph Transformer (2026)Yifei Li et al.1.83
- Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters (2026)Mohammed Rahman Sherif Khan Mohammad et al.1.83
- Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors (2026)Max Marriott-Clarke et al.1.83
- The impact of sensor placement on graph-neural-network-based leakage detection (2026)J.J.H. van Gemert et al.1.83
- FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics (2026)Taejin Jeong et al.1.83
- Contextual Graph Representations for Task-Driven 3D Perception and Planning (2026)Christopher Agia1.83
- Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows (2026)Enrique Feito-Casares et al.1.78
- Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis (2026)Bin Xu et al.1.78
- A zone-based training approach for last-mile routing using Graph Neural Networks and Pointer Networks (2026)\`Angel Ruiz-Fas et al.1.72
- OptiMAG: Structure-Semantic Alignment via Unbalanced Optimal Transport (2026)Yilong Zuo et al.1.72
- GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface (2025)Miguel Esparza et al.1.67
- Sign language recognition from skeletal data using graph and recurrent neural networks (2025)B. Mederos et al.1.61
- MG-HGNN: A Heterogeneous GNN Framework for Indoor Wi-Fi Fingerprint-Based Localization (2025)Yibu Wang et al.1.61
- ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction (2025)Ruochen Li et al.1.61
- Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation (2025)Lian Shen et al.1.61
- Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads (2025)Yuecheng Cai et al.1.56
- Fast and the Furious: Hot Starts in Pursuit-Evasion Games (2025)Gabriel Smithline et al.1.56
- CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction (2025)Mattia Grasselli et al.1.56
- Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval (2025)Ashwin Ramachandran et al.1.56
- Rashomon in the Streets: Explanation Ambiguity in Scene Understanding (2025)Helge Spieker et al.1.50
- Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks (2025)Niteesh Midlagajni et al.1.50
- MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning (2025)Haochen You et al.1.50
- Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement (2025)Jakob Nyberg et al.1.50
- Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication (2025)Maysam Behmanesh et al.1.50
- CogGNN: Cognitive Graph Neural Networks in Generative Connectomics (2025)Mayssa Soussia et al.1.50
- Word2VecGD: Neural Graph Drawing with Cosine-Stress Optimization (2025)Minglai Yang et al.1.50
- EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving (2025)Emmanouil Karystinaios et al.1.50
- Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer (2025)Shangqi Gao and Sihan Wang and Yibo Gao and Boming Wang and Xiahai Zhuang and Anne Warren and Grant Stewart and James Jones and Mireia Crispin-Ortuzar1.50
- AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs (2025)Hakan Emre Gedik et al.1.50