21 citations · 34 across the 4 of their papers we have counts for
5 papers
TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph
Yiming Xu, Bin Shi, Bo Dong +3
Tax evasion causes severe losses of government revenues and disturbs the economic order of fair competition. To help alleviate this problem, the latest tax evasion detection soluti…
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu, Bin Shi, Teng Ma +3
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of th…
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li, Bin Shi, Erfei Cui +2
We study the challenging problem for inference tasks on large-scale graph datasets of Graph Neural Networks: huge time and memory consumption, and try to overcome it by reducing re…
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
Yuntao Shou, Huan Liu, Xiangyong Cao +2
Conversational emotion recognition (CER) is an important research topic in human-computer interactions. {Although recent advancements in transformer-based cross-modal fusion method…
Research on Fast Text Recognition Method for Financial Ticket Image
Fukang Tian, Haiyu Wu, Bo Xu
Currently, deep learning methods have been widely applied in and thus promoted the development of different fields. In the financial accounting field, the rapid increase in the num…