6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 6 cited
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification
Xiaohe Li, Lijie Wen, Yawen Deng +4
Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification. In this work, we reveal the vulnerability of GNN to the imbalance of…
cs.CL2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu, Chenwei Zhang, Yawen Yang +4
Low-resource Relation Extraction (LRE) aims to extract relation facts from limited labeled corpora when human annotation is scarce. Existing works either utilize self-training sche…
cs.SI2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Xiaohe Li, Lijie Wen, Chen Qian +1
The real-world networks often compose of different types of nodes and edges with rich semantics, widely known as heterogeneous information network (HIN). Heterogeneous network embe…