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Usability: the extent to which a product can be used by specified users to achieve specified goals w...
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Convolutional Neural Networks Architecture
Universal Prompt Tuning for Graph Neural Networks
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for...
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Predict...
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
3D modeling holds significant importance in the realms of AR/VR and gaming, allowing for both artist...
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Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
Deep learning notes
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
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Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
The presentation is made on CNN's which is explained using the image classification problem, the...
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MGGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment ...
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks