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08/18/2023
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
We introduce a Self-supervised Contrastive Representation Learning Appro...
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06/13/2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Real-world graphs generally have only one kind of tendency in their conn...
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11/09/2022
Deep Learning for Time Series Anomaly Detection: A Survey
Time series anomaly detection has applications in a wide range of resear...
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07/06/2022
Simple and Efficient Heterogeneous Graph Neural Network
Heterogeneous graph neural networks (HGNNs) deliver the powerful capabil...
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06/04/2022
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation
Automatic generation of ophthalmic reports using data-driven neural netw...
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02/25/2022
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
Large-scale e-commercial platforms in the real-world usually contain var...
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02/14/2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Recent years have witnessed fast developments of graph neural networks (...
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01/24/2022
Multi-Graph Fusion Networks for Urban Region Embedding
Learning the embeddings for urban regions from human mobility data can r...
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06/18/2021
Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention du...
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02/02/2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Human knowledge provides a formal understanding of the world. Knowledge ...
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05/31/2019
