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Graph Representation Learning Meets Computer Vision: A Survey
Model representation refers to the way a machine learning or statistical model is structured, stored...
Knowledge Graphs (KGs) have emerged as a valuable tool for supporting humanities scholars and cultur...
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Pr...
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
Simplifying and Empowering Transformers for Large-Graph Representations
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
Improving Graph Networks through Selection-based Convolution
Scalable Spatiotemporal Graph Neural Networks
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
MGGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment ...
Vision HGNN: An Image is More than a Graph of Nodes
A Simple Baseline for Weakly-Supervised Scene Graph Generation
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hy...
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for...
Video Matting via Consistency-Regularized Graph Neural Networks
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Cascade Graph Neural Network for RGB-D Salient Object Detection
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud