Search Results for author: Shucheng Li

Found 4 papers, 2 papers with code

Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection

no code implementations18 Jun 2021 Shucheng Li, Fengyuan Xu, Runchuan Wang, Sheng Zhong

In our model, two pretext tasks designed from spatial and temporal perspectives help us effectively learn useful node embedding from the huge amount of unlabelled transaction data.

Graph Learning Node Classification

Graph Neural Networks for Natural Language Processing: A Survey

1 code implementation10 Jun 2021 Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP).

graph construction Graph Representation Learning

Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network

no code implementations24 May 2021 Guoqiang Liang, Yanbing Lv, Shucheng Li, Shizhou Zhang, Yanning Zhang

Specifically, the generator employs a fully convolutional sequence network to extract global representation of a video, and an attention-based network to output normalized importance scores.

Unsupervised Video Summarization

Cannot find the paper you are looking for? You can Submit a new open access paper.