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20152023
most citedFeature Selection: A Data Perspective

2.4k citations · 4.3k across the 35 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.SI2017★ 105 cited

Beyond News Contents: The Role of Social Context for Fake News Detection

Kai Shu, Suhang Wang, Huan Liu

Social media is becoming popular for news consumption due to its fast dissemination, easy access, and low cost. However, it also enables the wide propagation of fake news, i.e., ne…

cs.SI2017★ 1 cited

Signed Node Relevance Measurements

Tyler Derr, Chenxing Wang, Suhang Wang +1

In this paper, we perform the initial and comprehensive study on the problem of measuring node relevance on signed social networks. We design numerous relevance measurements for si…

cs.SI2017★ 4 cited

Preserving Local and Global Information for Network Embedding

Yao Ma, Suhang Wang, ZhaoChun Ren +2

Networks such as social networks, airplane networks, and citation networks are ubiquitous. The adjacency matrix is often adopted to represent a network, which is usually high dimen…

cs.CL2017★ 12 cited

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications

Fred Morstatter, Kai Shu, Suhang Wang +1

Most social media platforms are largely based on text, and users often write posts to describe where they are, what they are seeing, and how they are feeling. Because written text…

cs.SI2017★ 601 cited

Fake News Detection on Social Media: A Data Mining Perspective

Kai Shu, Amy Sliva, Suhang Wang +2

Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume ne…

cs.LG2017★ 13 cited

Disentangled Variational Auto-Encoder for Semi-supervised Learning

Yang Li, Quan Pan, Suhang Wang +3

Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, h…