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Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspec...
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinfor...
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Hierarchical Generation of Molecular Graphs using Structural Motifs
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
Molecular Contrastive LearningwithChemical Element Knowledge Graph
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classifica...
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
ONE TRANSFORMER CAN UNDERSTAND BOTH 2D & 3D MOLECULAR DATA
Prompt-supervised Dynamic Attention Graph Convolutional Network for Skeleton-based Action Recognitio...
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing
Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
Neural Message Passing for Quantum Chemistry