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An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
We solve the TSP as a link prediction task and propose an edge-aware graph autoencoder (EdgeGAE) model that can solve TSPs by learning from various-scale samples with an imbalanced distribution.
Shiqing Liu, Xueming Yan, Yaochu Jin
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An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
A survey on computationally efficient neural architecture search
Shiqing Liu, Haoyu Zhang, Yaochu Jin
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Federated learning on non-IID data: A survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin
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Shiqing Liu, Robert Ford
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An example journal article