Tag: graph learning
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DBGL: Advanced Graph Learning for Irregular Medical Time Series
Discover DBGL, a decay-aware bipartite graph learning model improving classification of irregular medical time series for better patient data analysis.
Neighbourhood Transformer: Advanced Graph Learning with Switchable Attention
Discover Neighbourhood Transformer, a monophily-aware graph learning model using switchable attention for improved performance on heterophilic and homophil...
Causal Inference in Graph Representation Learning Explained
Explore how causal inference enhances graph representation learning by addressing aggregation challenges and improving model validity.
GNN-as-Judge: Enhancing Graph Learning with LLM Feedback
Discover how GNN-as-Judge boosts graph learning by combining LLMs and GNNs for reliable pseudo labels and reduced noise in low-resource settings.
EAGLE: Proactive Delivery Delay Prediction in Logistics
Discover EAGLE, a hybrid deep learning model for proactive delivery delay prediction using edge-aware graph learning in smart logistics networks.