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20112023
most citedGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

787 citations · 3.8k across the 54 of their papers we have counts for

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7 papers · 1 filter

cs.IR2023

Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit

Bo Chen, Jing Zhang, Fanjin Zhang +5

Name disambiguation -- a fundamental problem in online academic systems -- is now facing greater challenges with the increasing growth of research papers. For example, on AMiner, a…

cs.IR2020★ 16 cited

Controllable Multi-Interest Framework for Recommendation

Yukuo Cen, Jianwei Zhang, Xu Zou +3

Recently, neural networks have been widely used in e-commerce recommender systems, owing to the rapid development of deep learning. We formalize the recommender system as a sequent…

cs.IR2020★ 13 cited

Modelling High-Order Social Relations for Item Recommendation

Yang Liu, Liang Chen, Xiangnan He +3

The prevalence of online social network makes it compulsory to study how social relations affect user choice. However, most existing methods leverage only first-order social relati…

cs.IR2019★ 8 cited

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation

Dong Zhang, Shu Zhao, Zhen Duan +3

Paper-reviewer recommendation task is of significant academic importance for conference chairs and journal editors. How to effectively and accurately recommend reviewers for the su…

cs.IR2019★ 15 cited

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation

Xichen Ding, Jie Tang, Tracy Liu +5

Understanding users' context is essential for successful recommendations, especially for Online-to-Offline (O2O) recommendation, such as Yelp, Groupon, and Koubei. Different from t…

cs.IR2019★ 12 cited

Sequential Scenario-Specific Meta Learner for Online Recommendation

Zhengxiao Du, Xiaowei Wang, Hongxia Yang +2

Cold-start problems are long-standing challenges for practical recommendations. Most existing recommendation algorithms rely on extensive observed data and are brittle to recommend…

cs.IR2018★ 10 cited

Expert Finding in Community Question Answering: A Review

Sha Yuan, Yu Zhang, Jie Tang +1

The rapid development recently of Community Question Answering (CQA) satisfies users quest for professional and personal knowledge about anything. In CQA, one central issue is to f…