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Learning Latent Interactions for Event classification via Graph Neural Network...
The proposed method learns latent interaction graph jointly with feature engineering and event identification model, thus improving the accuracy of the graph learning and... -
Adaptive Graph Convolution Networks for Traffic Flow Forecasting
Traffic flow forecasting is a highly challenging task due to the dynamic spatial-temporal road conditions. Graph neural networks (GNN) has been widely applied in this task.... -
Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecas...
The complex spatial-temporal correlations in traffic data make the traffic forecasting problem challenging. The proposed model captures the time-varying spatial correlations by... -
Universal Polynomial Bases for Spectral Graph Neural Networks
The dataset used in the paper is a collection of real-world datasets with varying heterophily degrees, including Cora, Citeseer, Pubmed, Actor, Chameleon, Squirrel, Penn94,... -
Collaborative graph learning for session-based recommendation
Collaborative graph learning for session-based recommendation. -
Session-based recommendation with graph neural networks
Graph Neural Network-based models have been found to be more effective than other models because they can better model the complex relationships that exist between items. -
Amazon Photos
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
Amazon Computers
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
WikiCS article citation network
The WikiCS article citation network is a dataset consisting of nodes corresponding to CS articles with edges based on hyperlinks and 10 classes representing different branches... -
ogbn-arxiv
The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the... -
Synthetic Graph Dataset
A synthetic dataset of 200 graphs with 5 nodes each, where nodes were randomly placed within a designated area of operation using a random point configuration of the Euclidean...
