no code implementations • 28 Feb 2024 • Lei Lyu, Chen Pang, Jihua Wang
Deep neural networks have demonstrated superior performance in artificial intelligence applications, but the opaqueness of their inner working mechanism is one major drawback in their application.
no code implementations • 6 Nov 2023 • Fuyun Wang, Xingyu Gao, Zhenyu Chen, Lei Lyu
CM-GNN further introduces an attention-based fusion module to learn pairwise relation-based session representation by fusing the item representations generated by L-GCN and G-GCN.
no code implementations • 27 Jan 2023 • Chen Pang, Xuequan Lu, Lei Lyu
For this, we propose a novel Contrastive GCN-Transformer Network (ConGT) which fuses the spatial and temporal modules in a parallel way.
1 code implementation • 26 May 2021 • Xue Jiang, Zhuoran Zheng, Chen Lyu, Liang Li, Lei Lyu
In this paper, we present TreeBERT, a tree-based pre-trained model for improving programming language-oriented generation tasks.