Guohui Ling

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All published works

Action	Title	Year	Authors
+ PDF Chat	Addressing Confounding Feature Issue for Causal Recommendation	2022	Xiangnan He Yang Zhang Fuli Feng Chonggang Song Lingling Yi Guohui Ling Yongdong Zhang
+	Addressing Confounding Feature Issue for Causal Recommendation	2022	Xiangnan He Yang Zhang Fuli Feng Chonggang Song Lingling Yi Guohui Ling Yongdong Zhang
+ PDF Chat	CatGCN: Graph Convolutional Networks With Categorical Node Features	2021	Weijian Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang
+ PDF Chat	Causal Intervention for Leveraging Popularity Bias in Recommendation	2021	Yang Zhang Fuli Feng Xiangnan He Tianxin Wei Chonggang Song Guohui Ling Yongdong Zhang
+ PDF Chat	LoCEC: Local Community-based Edge Classification in Large Online Social Networks	2020	Chonggang Song Qian Lin Guohui Ling Zongyi Zhang Hongzhao Chen Jun Liao Chuan Chen
+	LoCEC: Local Community-based Edge Classification in Large Online Social Networks	2020	Chonggang Song Qian Lin Guohui Ling Zongyi Zhang Hongzhao Chen Jun Liao Chuan Chen

Common Coauthors

Coauthor	Papers Together
Chonggang Song	6
Yongdong Zhang	4
Fuli Feng	4
Xiangnan He	4
Yang Zhang	3
Hongzhao Chen	2
Qian Lin	2
Zongyi Zhang	2
Jun Liao	2
Chuan Chen	2
Lingling Yi	1
Weijian Chen	1
Qifan Wang	1
Lingling Yi	1
Tianxin Wei	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	3
+	An Introduction to Logistic Regression Analysis and Reporting	2002	Chao‐Ying Joanne Peng Kuk Lida Lee Gary M. Ingersoll	2
+ PDF Chat	Social influence in social advertising: evidence from field experiments	2012	Eytan Bakshy Dean Eckles Rong Yan Itamar Rosenn	2
+ PDF Chat	Neural Factorization Machines for Sparse Predictive Analytics	2017	Xiangnan He Tat‐Seng Chua	2
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	2
+ PDF Chat	Disentangling User Interest and Conformity for Recommendation with Causal Embedding	2021	Yu Zheng Chen Gao Xiang Li Xiangnan He Yong Li Depeng Jin	2
+	Romantic partnerships and the dispersion of social ties: a network analysis of relationship status on facebook	2014	Lars Bäckström Jon Kleinberg	2
+ PDF Chat	Predicting positive and negative links in online social networks	2010	Jure Leskovec Daniel P. Huttenlocher Jon Kleinberg	2
+ PDF Chat	Neural Graph Collaborative Filtering	2019	Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat‐Seng Chua	2
+ PDF Chat	Model slicing for supporting complex analytics with elastic inference cost and resource constraints	2019	Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao	2
+	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	2020	Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang	2
+ PDF Chat	Database Meets Deep Learning	2016	Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Beng Chin Ooi Kian‐Lee Tan	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	2
+ PDF Chat	Revenue maximization in incentivized social advertising	2017	Çiğdem Aslay Francesco Bonchi Laks V. S. Lakshmanan Wei Lu	2
+ PDF Chat	Real-time influence maximization on dynamic social streams	2017	Yanhao Wang Qi Fan Yuchen Li Kian‐Lee Tan	2
+	Bias and Debias in Recommender System: A Survey and Future Directions	2020	Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang Xiangnan He	2
+ PDF Chat	Unbiased Learning for the Causal Effect of Recommendation	2020	Masahiro Sato Sho Takemori Janmajay Singh Tomoko Ohkuma	2
+	Proceedings of the 24th international conference on Machine learning	2007	John Langford Joëlle Pineau	2
+ PDF Chat	Real-time Attention Based Look-alike Model for Recommender System	2019	Yudan Liu Kaikai Ge Xu Zhang Leyu Lin	1
+ PDF Chat	Attributed Social Network Embedding	2018	Lizi Liao Xiangnan He Hanwang Zhang Tat‐Seng Chua	1
+ PDF Chat	Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation	2019	Wenjie Shang Yang Yu Qingyang Li Zhiwei Qin Yiping Meng Jieping Ye	1
+ PDF Chat	Graph Convolutional Networks for Text Classification	2019	Liang Yao Chengsheng Mao Yuan Luo	1
+	Fairness in Recommendation Ranking through Pairwise Comparisons	2019	Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei Yi Wu Lukasz Heldt Zhe Zhao Lichan Hong Ed H.	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba	2018	Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Dik Lun Lee	1
+	Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.	2019	Himan Abdollahpouri Robin Burke Bamshad Mobasher	1
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018	Jie Chen Tengfei Ma Cao Xiao	1
+	Link Prediction Based on Graph Neural Networks	2018	Muhan Zhang Yixin Chen	1
+ PDF Chat	Semi-supervised User Geolocation via Graph Convolutional Networks	2018	Afshin Rahimi Trevor Cohn Timothy Baldwin	1
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks	2017	Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Fei Wu Tat‐Seng Chua	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	The Blessings of Multiple Causes	2019	Zhaoran Wang David M. Blei	1
+ PDF Chat	Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	2019	Fuli Feng Xiangnan He Jie Tang Tat‐Seng Chua	1
+ PDF Chat	Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	2020	Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata	1
+ PDF Chat	Deep Learning on Graphs: A Survey	2020	Ziwei Zhang Peng Cui Wenwu Zhu	1
+	Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning	2020	Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani	1
+ PDF Chat	Two Causal Principles for Improving Visual Dialog	2020	Jiaxin Qi Yulei Niu Jianqiang Huang Hanwang Zhang	1
+	Popularity Bias in Recommendation: A Multi-stakeholder Perspective	2020	Himan Abdollahpouri	1
+	Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback	2020	Zifeng Wang Xi Chen Rui Wen Shao‐Lun Huang Erçan E. Kuruoğlu Yefeng Zheng	1
+	The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation	2020	Himan Abdollahpouri Masoud Mansoury Robin Burke Bamshad Mobasher	1
+ PDF Chat	Bias and Debias in Recommender System: A Survey and Future Directions	2022	Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang Xiangnan He	1
+ PDF Chat	Feedback Loop and Bias Amplification in Recommender Systems	2020	Masoud Mansoury Himan Abdollahpouri Mykola Pechenizkiy Bamshad Mobasher Robin Burke	1
+ PDF Chat	Local Popularity and Time in top-N Recommendation	2019	Vito Walter Anelli Tommaso Di Noia Eugenio Di Sciascio Azzurra Ragone Joseph Trotta	1
+ PDF Chat	Understanding Echo Chambers in E-commerce Recommender Systems	2020	Yingqiang Ge Shuya Zhao Honglu Zhou Changhua Pei Fei Sun Wenwu Ou Yongfeng Zhang	1
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	1
+	Estimating Position Bias without Intrusive Interventions	2019	Aman Agarwal Ivan Zaitsev Xuanhui Wang Cheng Li Marc Najork Thorsten Joachims	1