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05/12/2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
To alleviate the local receptive issue of GCN, Transformers have been ex...
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07/31/2022
Chinese grammatical error correction based on knowledge distillation
In view of the poor robustness of existing Chinese grammatical error cor...
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04/26/2022
Unified GCNs: Towards Connecting GCNs with CNNs
Graph Convolutional Networks (GCNs) have been widely demonstrated their ...
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03/23/2020
RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises
Graph Convolutional Networks (GCNs) have been widely studied for attribu...
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12/02/2019
Inference for Synthetic Control Methods with Multiple Treated Units
Although the Synthetic Control Method (SCM) is now widely applied, its m...
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04/26/2019
Graph Optimized Convolutional Networks
Graph Convolutional Networks (GCNs) have been widely studied for graph d...
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01/22/2019
Multiple Graph Adversarial Learning
Recently, Graph Convolutional Networks (GCNs) have been widely studied f...
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11/25/2018
