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19 papers · 1 filter
Revisiting Link Prediction: A Data Perspective
Haitao Mao, Juanhui Li, Harry Shomer +6
Link prediction, a fundamental task on graphs, has proven indispensable in various applications, e.g., friend recommendation, protein analysis, and drug interaction prediction. How…
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries
Aaron Brookhouse, Tyler Derr, Hamid Karimi +2
Information is crucial to the function of a democratic society where well-informed citizens can make rational political decisions. While in the past political entities were primari…
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
Ghazaleh Beigi, Jiliang Tang, Huan Liu
Many real-world relations can be represented by signed networks with positive links (e.g., friendships and trust) and negative links (e.g., foes and distrust). Link prediction help…
Balance in Signed Bipartite Networks
Tyler Derr, Cassidy Johnson, Yi Chang +1
A large portion of today's big data can be represented as networks. However, not all networks are the same, and in fact, for many that have additional complexities to their structu…
Deep Adversarial Network Alignment
Tyler Derr, Hamid Karimi, Xiaorui Liu +2
Network alignment, in general, seeks to discover the hidden underlying correspondence between nodes across two (or more) networks when given their network structure. However, most…
Signed Graph Convolutional Network
Tyler Derr, Yao Ma, Jiliang Tang
Due to the fact much of today's data can be represented as graphs, there has been a demand for generalizing neural network models for graph data. One recent direction that has show…
Multi-dimensional Graph Convolutional Networks
Yao Ma, Suhang Wang, Charu C. Aggarwal +2
Convolutional neural networks (CNNs) leverage the great power in representation learning on regular grid data such as image and video. Recently, increasing attention has been paid…
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…
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…
Signed Network Modeling Based on Structural Balance Theory
Tyler Derr, Charu Aggarwal, Jiliang Tang
The modeling of networks, specifically generative models, have been shown to provide a plethora of information about the underlying network structures, as well as many other benefi…
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…
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li, Harsh Dani, Xia Hu +3
Network embedding leverages the node proximity manifested to learn a low-dimensional node vector representation for each node in the network. The learned embeddings could advance v…
Understanding and Predicting Delay in Reciprocal Relations
Jundong Li, Jiliang Tang, Yilin Wang +3
Reciprocity in directed networks points to user's willingness to return favors in building mutual interactions. High reciprocity has been widely observed in many directed social me…
Streaming Recommender Systems
Shiyu Chang, Yang Zhang, Jiliang Tang +4
The increasing popularity of real-world recommender systems produces data continuously and rapidly, and it becomes more realistic to study recommender systems under streaming scena…
Signed Link Analysis in Social Media Networks
Ghazaleh Beigi, Jiliang Tang, Huan Liu
Numerous real-world relations can be represented by signed networks with positive links (e.g., trust) and negative links (e.g., distrust). Link analysis plays a crucial role in und…
Predicting Online Protest Participation of Social Media Users
Suhas Ranganath, Fred Morstatter, Xia Hu +2
Social media has emerged to be a popular platform for people to express their viewpoints on political protests like the Arab Spring. Millions of people use social media to communic…
A Survey of Signed Network Mining in Social Media
Jiliang Tang, Yi Chang, Charu Aggarwal +1
Many real-world relations can be represented by signed networks with positive and negative links, as a result of which signed network analysis has attracted increasing attention fr…
Leveraging Social Foci for Information Seeking in Social Media
Suhas Ranganath, Jiliang Tang, Xia Hu +2
The rise of social media provides a great opportunity for people to reach out to their social connections to satisfy their information needs. However, generic social media platform…
Negative Link Prediction in Social Media
Jiliang Tang, Shiyu Chang, Charu Aggarwal +1
Signed network analysis has attracted increasing attention in recent years. This is in part because research on signed network analysis suggests that negative links have added valu…