103 citations · 430 across the 38 of their papers we have counts for
6 papers · 1 filter
Fact-Enhanced Synthetic News Generation
Kai Shu, Yichuan Li, Kaize Ding +1
The advanced text generation methods have witnessed great success in text summarization, language translation, and synthetic news generation. However, these techniques can be abuse…
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
Kaize Ding, Jianling Wang, Jundong Li +2
Text classification is a critical research topic with broad applications in natural language processing. Recently, graph neural networks (GNNs) have received increasing attention i…
Combating Disinformation in a Social Media Age
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi +4
The creation, dissemination, and consumption of disinformation and fabricated content on social media is a growing concern, especially with the ease of access to such sources, and…
GLOW : Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia +6
Deep matching models aim to facilitate search engines retrieving more relevant documents by mapping queries and documents into semantic vectors in the first-stage retrieval. When l…
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding, Jianling Wang, Jundong Li +3
Attributed networks nowadays are ubiquitous in a myriad of high-impact applications, such as social network analysis, financial fraud detection, and drug discovery. As a central an…
Challenges in Combating COVID-19 Infodemic -- Data, Tools, and Ethics
Kaize Ding, Kai Shu, Yichuan Li +2
While the COVID-19 pandemic continues its global devastation, numerous accompanying challenges emerge. One important challenge we face is to efficiently and effectively use recentl…