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Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents
Arxiv
0+阅读 · 10月15日
Quantum Graph Convolutional Networks: Implementation and Trainability Analysis
Arxiv
0+阅读 · 9月17日
RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
Arxiv
0+阅读 · 9月29日
RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
Arxiv
0+阅读 · 9月30日
Particle Competition and Cooperation for Robust Graph Convolutional Network Learning Under Label Noise
Arxiv
0+阅读 · 9月18日
GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis
Arxiv
0+阅读 · 8月30日
MSCGC-KAN: Multi-scale Causal Graph Convolution and KAN-inspired Analytic-basis Mapping for EEG Emotion Recognition
Arxiv
0+阅读 · 8月28日
Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification
Arxiv
0+阅读 · 8月29日
Eliminating Propagation Delay: Attention-Based Spatial-Temporal Fusion Graph Convolution Network for Traffic Flow Prediction
Arxiv
0+阅读 · 7月27日
RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
Arxiv
0+阅读 · 8月22日
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
Arxiv
0+阅读 · 7月7日
GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting
Arxiv
0+阅读 · 6月20日
O-RAN Xapps Conflict Prediction Using Graph Convolutional Networks
Arxiv
0+阅读 · 6月19日
HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
Arxiv
0+阅读 · 6月18日
P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution
Arxiv
0+阅读 · 6月17日
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