3 papers
cs.HC2020
CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
Keyu Yang, Yunjun Gao, Lei Liang +3
Sentiment classification is a fundamental task in content analysis. Although deep learning has demonstrated promising performance in text classification compared with shallow model…
cs.LG2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting Chen, Song Bian, Yizhou Sun
Graph Neural Nets (GNNs) have received increasing attentions, partially due to their superior performance in many node and graph classification tasks. However, there is a lack of u…
cs.LG2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai, Hao Ding, Song Bian +3
Graph similarity search is among the most important graph-based applications, e.g. finding the chemical compounds that are most similar to a query compound. Graph similarity comput…