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20142026
most citedImproving Stock Market Prediction via Heterogeneous Information Fusion

210 citations · 584 across the 37 of their papers we have counts for

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Showing cs.SIShow all

8 papers · 1 filter

cs.SI2021★ 1 cited

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning

Chaozhuo Li, Senzhang Wang, Zheng Liu +3

User identity linkage, which aims to link identities of a natural person across different social platforms, has attracted increasing research interest recently. Existing approaches…

cs.SI2020★ 3 cited

Adversarial Directed Graph Embedding

Shijie Zhu, Jianxin Li, Hao Peng +2

Node representation learning for directed graphs is critically important to facilitate many graph mining tasks. To capture the directed edges between nodes, existing methods mostly…

cs.SI2019

Multi-Hot Compact Network Embedding

Chaozhuo Li, Senzhang Wang, Philip S. Yu +1

Network embedding, as a promising way of the network representation learning, is capable of supporting various subsequent network mining and analysis tasks, and has attracted growi…

cs.SI2018★ 210 cited

Improving Stock Market Prediction via Heterogeneous Information Fusion

Xi Zhang, Yunjia Zhang, Senzhang Wang +3

Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recen…

cs.SI2016★ 2 cited

Intertwined Viral Marketing through Online Social Networks

Jiawei Zhang, Senzhang Wang, Qianyi Zhan +1

Traditional viral marketing problems aim at selecting a subset of seed users for one single product to maximize its awareness in social networks. However, in real scenarios, multip…

cs.SI2015★ 5 cited

Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching

Jiawei Zhang, Weixiang Shao, Senzhang Wang +2

To enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously. The shared users between different networks are called…

cs.SI2015★ 1 cited

CENI: a Hybrid Framework for Efficiently Inferring Information Networks

Qingbo Hu, Sihong Xie, Shuyang Lin +2

Nowadays, the message diffusion links among users or websites drive the development of countless innovative applications. However, in reality, it is easier for us to observe the ti…

cs.SI2014★ 24 cited

Future Influence Ranking of Scientific Literature

Senzhang Wang, Sihong Xie, Xiaoming Zhang +3

Researchers or students entering a emerging research area are particularly interested in what newly published papers will be most cited and which young researchers will become infl…