graph.md

October 23, 2025 ยท View on GitHub

Graph

  • (arXiv 2022.09) Graph Reasoning Transformer for Image Parsing, [Paper]
  • (arXiv 2022.11) Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach, [Paper]
  • (arXiv 2022.12) A Generalization of ViT/MLP-Mixer to Graphs, [Paper], [Code]
  • (arXiv 2023.02) Energy Transformer, [Paper], [Code]
  • (arXiv 2023.02) MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis, [Paper]
  • (arXiv 2023.02) Contrastive Video Question Answering via Video Graph Transformer, [Paper], [Code]
  • (arXiv 2023.03) AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images, [Paper], [Code]
  • (arXiv 2023.03) An Adaptive GViT for Gas Mixture Identification and Concentration Estimation, [Paper]
  • (arXiv 2023.04) Transformer-based Graph Neural Networks for Outfit Generation, [Paper]
  • (arXiv 2023.05) GTNet: Graph Transformer Network for 3D Point Cloud Classification and ation, [Paper]
  • (arXiv 2023.05) Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification, [Paper]
  • (arXiv 2023.06) NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning, [Paper]
  • (arXiv 2023.08) Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors, [Paper]
  • (arXiv 2023.08) Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images, [Paper]
  • (arXiv 2023.08) Deep Prompt Tuning for Graph Transformers, [Paper]
  • (arXiv 2023.11) GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation, [Paper], [Code]
  • (arXiv 2023.11) GMTR: Graph Matching Transformers, [Paper]
  • (arXiv 2023.12) GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction, [Paper]
  • (arXiv 2023.12) Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers, [Paper]
  • (arXiv 2024.01) Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation, [Paper]
  • (arXiv 2024.02) Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification, [Paper], [Code]
  • (arXiv 2024.03) ChebMixer: Efficient Graph Representation Learning with MLP Mixer, [Paper]
  • (arXiv 2024.04) GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets, [Paper]
  • (arXiv 2024.06) CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos, [Paper]
  • (arXiv 2024.06) HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction, [Paper]
  • (arXiv 2024.07) Learning Lane Graphs from Aerial Imagery Using Transformers, [Paper]
  • (arXiv 2024.07) Video-Language Alignment Pre-training via Spatio-Temporal Graph Transformer, [Paper], [Code]
  • (arXiv 2024.08) Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures, [Paper]
  • (arXiv 2024.09) A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer, [Paper]
  • (arXiv 2024.10) GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction, [Paper]
  • (arXiv 2024.12) Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video, [Paper], [Code]
  • (arXiv 2025.04) HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning, [Paper]
  • (arXiv 2025.04) Hypergraph Vision Transformers: Images are More than Nodes, More than Edges, [Paper]
  • (arXiv 2025.06) GraphGSOcc: Semantic and Geometric Graph Transformer for 3D Gaussian Splating-based Occupancy Prediction, [Paper]
  • (arXiv 2025.07) ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction, [Paper]
  • (arXiv 2025.10) Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework, [Paper], [Code]