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06/02/2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Graph Anomaly Detection (GAD) is a technique used to identify abnormal n...
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04/27/2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Graph Neural Networks (GNNs) learn low dimensional representations of no...
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04/27/2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Graph pooling is an essential ingredient of Graph Neural Networks (GNNs)...
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04/26/2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Research in deep learning models to forecast traffic intensities has gai...
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03/31/2021