42 citations · 218 across the 44 of their papers we have counts for
5 papers · 1 filter
Neural Subgraph Isomorphism Counting
Xin Liu, Haojie Pan, Mutian He +3
In this paper, we study a new graph learning problem: learning to count subgraph isomorphisms. Different from other traditional graph learning problems such as node classification…
Hyper-Path-Based Representation Learning for Hyper-Networks
Jie Huang, Xin Liu, Yangqiu Song
Network representation learning has aroused widespread interests in recent years. While most of the existing methods deal with edges as pairwise relationships, only a few studies h…
Relation Discovery with Out-of-Relation Knowledge Base as Supervision
Yan Liang, Xin Liu, Jianwen Zhang +1
Unsupervised relation discovery aims to discover new relations from a given text corpus without annotated data. However, it does not consider existing human annotated knowledge bas…
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu +1
In this paper, we propose a variational approach to weakly supervised document-level multi-aspect sentiment classification. Instead of using user-generated ratings or annotations p…
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
Huiru Xiao, Xin Liu, Yangqiu Song
Hierarchical text classification has many real-world applications. However, labeling a large number of documents is costly. In practice, we can use semi-supervised learning or weak…