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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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11/25/2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Unsupervised graph representation learning (UGRL) has drawn increasing r...
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10/17/2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Graph contrastive learning (GCL) has recently emerged as an effective le...
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06/03/2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Graph contrastive learning (GCL) alleviates the heavy reliance on label ...
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04/05/2022
Service resource allocation problem in the IoT driven personalized healthcare information platform
With real-time monitoring of the personalized healthcare condition, the ...
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04/03/2022
Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach
Mobile health (mHealth) information service makes healthcare management ...
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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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09/25/2019
Online Semi-Supervised Concept Drift Detection with Density Estimation
Concept drift is formally defined as the change in joint distribution of...
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06/30/2019