28 citations · 53 across the 5 of their papers we have counts for
5 papers
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
Fuyun Wang, Xingyu Gao, Zhenyu Chen +1
Session-based recommendation (SBR) aims to predict the next item at a certain time point based on anonymous user behavior sequences. Existing methods typically model session repres…
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang, Xuequan Lu, Lei Lyu
For pursuing accurate skeleton-based action recognition, most prior methods use the strategy of combining Graph Convolution Networks (GCNs) with attention-based methods in a serial…
MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion
Zheng Ma, Yuexiu Gao, Lei Lyu +1
Background: Code summarization automatically generates the corresponding natural language descriptions according to the input code. Comprehensiveness of code representation is crit…
HELoC: Hierarchical Contrastive Learning of Source Code Representation
Xiao Wang, Qiong Wu, Hongyu Zhang +5
Abstract syntax trees (ASTs) play a crucial role in source code representation. However, due to the large number of nodes in an AST and the typically deep AST hierarchy, it is chal…
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
Xue Jiang, Zhuoran Zheng, Chen Lyu +2
Source code can be parsed into the abstract syntax tree (AST) based on defined syntax rules. However, in pre-training, little work has considered the incorporation of tree structur…