14 citations · 61 across the 13 of their papers we have counts for
4 papers · 1 filter
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs
Ziming Wan, Deqing Wang, Xuehua Ming +4
Heterogeneous graph neural networks (HGNNs) have been widely applied in heterogeneous information network tasks, while most HGNNs suffer from poor scalability or weak representatio…
Pruning Pre-trained Language Models Without Fine-Tuning
Ting Jiang, Deqing Wang, Fuzhen Zhuang +2
To overcome the overparameterized problem in Pre-trained Language Models (PLMs), pruning is widely used as a simple and straightforward compression method by directly removing unim…
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Ting Jiang, Deqing Wang, Leilei Sun +3
Hierarchical text classification aims to leverage label hierarchy in multi-label text classification. Existing methods encode label hierarchy in a global view, where label hierarch…
PromptBERT: Improving BERT Sentence Embeddings with Prompts
Ting Jiang, Jian Jiao, Shaohan Huang +7
We propose PromptBERT, a novel contrastive learning method for learning better sentence representation. We firstly analyze the drawback of current sentence embedding from original…