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06/21/2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
With a long history of traditional Graph Anomaly Detection (GAD) algorit...
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03/19/2023
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction
Undersampled MRI reconstruction is crucial for accelerating clinical sca...
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11/30/2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Graph neural networks (GNNs) are popular weapons for modeling relational...
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10/14/2022
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
Multimodal sensors (e.g., visual, non-visual, and wearable) provide comp...
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09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
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05/31/2022
Rethinking Graph Neural Networks for Anomaly Detection
Graph Neural Networks (GNNs) are widely applied for graph anomaly detect...
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05/23/2022
