94 citations · 206 across the 53 of their papers we have counts for
6 papers · 1 filter
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
Yi Xu, Junjie Ou, Hui Xu +1
Temporal knowledge graph, serving as an effective way to store and model dynamic relations, shows promising prospects in event forecasting. However, most temporal knowledge graph r…
IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications
Qi Li, Yuyang Ren, Xingli Wang +5
Understanding the origin and influence of the publication's idea is critical to conducting scientific research. However, the proliferation of scientific publications makes it diffi…
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Yi Xu, Luoyi Fu, Zhouhan Lin +2
Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction are two essential tasks for constructing and applying knowledge graphs. Existing unsupervised approaches tu…
Disentangled Graph Contrastive Learning for Review-based Recommendation
Yuyang Ren, Haonan Zhang, Qi Li +5
User review data is helpful in alleviating the data sparsity problem in many recommender systems. In review-based recommendation methods, review data is considered as auxiliary inf…
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
Bin Lu, Xiaoying Gan, Lina Yang +3
With the tremendous expansion of graphs data, node classification shows its great importance in many real-world applications. Existing graph neural network based methods mainly foc…
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Bin Lu, Xiaoying Gan, Weinan Zhang +3
Spatio-temporal graph learning is a key method for urban computing tasks, such as traffic flow, taxi demand and air quality forecasting. Due to the high cost of data collection, so…