839 citations · 1.4k across the 16 of their papers we have counts for
4 papers · 1 filter
DAGAD: Data Augmentation for Graph Anomaly Detection
Fanzhen Liu, Xiaoxiao Ma, Jia Wu +7
Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of graph-structured instances. Rec…
Graph-level Neural Networks: Current Progress and Future Directions
Ge Zhang, Jia Wu, Jian Yang +6
Graph-structured data consisting of objects (i.e., nodes) and relationships among objects (i.e., edges) are ubiquitous. Graph-level learning is a matter of studying a collection of…
Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures
Yutong Qu, Wei Emma Zhang, Jian Yang +2
Knowledge-aware methods have boosted a range of natural language processing applications over the last decades. With the gathered momentum, knowledge recently has been pumped into…
A Survey on Location-Driven Influence Maximization
Taotao Cai, Quan Z. Sheng, Xiangyu Song +5
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, is an evergreen hot research topic. Its…