Wenqi Fan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 93

Top Topics

Recommender Systems

Social Recommendation

Top Venues

WWW (Companion Volume)

Publications

Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. ACL (Findings) (2024)
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) (2024)
Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD (2024)
Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li
Large Language Models for Graph Learning. WWW (Companion Volume) (2024)
Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
Fast Graph Condensation with Structure-based Neural Tangent Kernel. WWW (2024)
Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. KDD (2024)
Jiancheng Tu, Wenqi Fan, Zhibin Wu
BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules. CoRR (2024)
Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. CoRR (2024)
Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
Backdoor Graph Condensation. CoRR (2024)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. 2 (2) (2024)
Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan
Graph Unlearning with Efficient Partial Retraining. CoRR (2024)
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
Dual Test-time Training for Out-of-distribution Recommender System. CoRR (2024)
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. WWW (2024)
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR (2024)
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR (2024)
Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR (2024)
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR (2024)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: a data perspective. ICLR (2024)
Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. CoRR (2024)
Rubing Chen, Xulu Zhang, Jiaxin Wu, Wenqi Fan, Xiao-Yong Wei, Qing Li
Multi-Level Querying using A Knowledge Pyramid. CoRR (2024)
Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR (2024)
Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR (2024)
Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li
Large Language Models are In-Context Molecule Learners. CoRR (2024)
Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR (2024)
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR (2024)
Liang-Bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li
Interpretation-Empowered Neural Cleanse for Backdoor Attacks. WWW (Companion Volume) (2024)
Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
Trustworthy Recommender Systems: Foundations and Frontiers. KDD (2023)
Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR (2023)
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM (2023)
Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang
Certified Robustness for Large Language Models with Self-Denoising. CoRR (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Wenqi Fan, Shijie Wang, Xiaoyong Wei, Xiaowei Mei, Qing Li
Untargeted Black-box Attacks for Social Recommendations. CoRR (2023)
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
Generative Diffusion Models on Graphs: Methods and Applications. CoRR (2023)
Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
Fairly Adaptive Negative Sampling for Recommendations. WWW (2023)
Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR (2023)
Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
Fast Graph Condensation with Structure-based Neural Tangent Kernel. CoRR (2023)
Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li
Recommender Systems in the Era of Large Language Models (LLMs). CoRR (2023)
Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. CoRR (2023)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25 (2) (2023)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: A Data Perspective. CoRR (2023)
Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
Generative Diffusion Models on Graphs: Methods and Applications. IJCAI (2023)
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
Fairly Adaptive Negative Sampling for Recommendations. CoRR (2023)
Xiaoya Chong, Min Cheng, Wenqi Fan, Qing Li, Howard Leung
M-Denoiser: Unsupervised image denoising for real-world optical and electron microscopy data. Comput. Biol. Medicine 164 (2023)
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang
Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. CoRR (2023)
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. CoRR (2023)
Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. ICDE (2023)
Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
Dataset Condensation for Recommendation. CoRR (2023)
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
STRec: Sparse Transformer for Sequential Recommendations. RecSys (2023)
Hao Xu, Bo Yang, Xiangkun Liu, Wenqi Fan, Qing Li
Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation. Knowl. Based Syst. 251 (2022)
Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
Multi-Type Urban Crime Prediction. AAAI (2022)
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
A Comprehensive Survey on Trustworthy Recommender Systems. CoRR (2022)
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Fairness Reprogramming. NeurIPS (2022)
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
Knowledge-enhanced Black-box Attacks for Recommendations. CoRR (2022)
Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin
A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR (2022)
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Fairness Reprogramming. CoRR (2022)
Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, Wenqi Fan, Yaowei Wang, Jiajun Shen, Dong-Qing Wei, Qing Li, Xiao-Yong Wei
Identifying the kind behind SMILES - anatomical therapeutic chemical classification using structure-only representations. Briefings Bioinform. 23 (5) (2022)
Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan
Dual constraints and adversarial learning for fair recommenders. Knowl. Based Syst. 239 (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
Knowledge-enhanced Black-box Attacks for Recommendations. KDD (2022)
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR (2022)
Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang
Self-supervised learning for fair recommender systems. Appl. Soft Comput. 125 (2022)
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
Disentangled Contrastive Learning for Social Recommendation. CIKM (2022)
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
Disentangled Contrastive Learning for Social Recommendation. CoRR (2022)
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
Graph Trend Filtering Networks for Recommendation. SIGIR (2022)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. KDD (2021)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE (2021)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM (2021)
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
Graph Trend Networks for Recommendations. CoRR (2021)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. CoRR (2021)
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. CoRR (2021)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. CoRR (2021)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR (2020)
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
Epidemic Graph Convolutional Network. WSDM (2020)
Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang
Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM (2020)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING (2020)
Lei Wang, Mengwei Wu, Xueqi Xu, Wenqi Fan
The diffusion of intelligent manufacturing applications based SIR model. J. Intell. Fuzzy Syst. 38 (6) (2020)
Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao
Improving Social Recommendations with Item Relationships. ICONIP (4) (2020)
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
Deep Adversarial Canonical Correlation Analysis. SDM (2020)
Wenqi Fan, Tianhui Wei, Jiangtao Peng, Weiwei Sun
Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification. MultiTemp (2019)
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep social collaborative filtering. RecSys (2019)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR (2019)
Tianhui Wei, Wenqi Fan, Jiangtao Peng, Weiwei Sun
Correlation Alignment Based On Sparse Matrix Transform for Unsupervised Domain Adaptation in Hyperspectral Image Classification. IGARSS (2019)
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
Graph Neural Networks for Social Recommendation. WWW (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. CoRR (2019)
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep Social Collaborative Filtering. CoRR (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. IJCAI (2019)
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
Graph Neural Networks for Social Recommendation. CoRR (2019)
Wenqi Fan, Qing Li, Min Cheng
Deep Modeling of Social Relations for Recommendation. AAAI (2018)