|
+
PDF
Chat
|
Adversarial Training Towards Robust Multimedia Recommender System
|
2019
|
Jinhui Tang
Xiaoyu Du
Xiangnan He
Fajie Yuan
Qi Tian
TatâSeng Chua
|
3
|
|
+
PDF
Chat
|
Adversarial Personalized Ranking for Recommendation
|
2018
|
Xiangnan He
Zhankui He
Xiaoyu Du
TatâSeng Chua
|
3
|
|
+
|
Heterogeneous Information Network Embedding for Recommendation
|
2018
|
Chuan Shi
Binbin Hu
Wayne Xin Zhao
Philip S. Yu
|
3
|
|
+
PDF
Chat
|
Neural Attentive Session-based Recommendation
|
2017
|
Jing Li
Pengjie Ren
Zhumin Chen
Zhaochun Ren
Tao Lian
Jun Ma
|
2
|
|
+
PDF
Chat
|
Explainable Recommendation: A Survey and New Perspectives
|
2020
|
Yongfeng Zhang
Xu Chen
|
2
|
|
+
|
Adam: A Method for Stochastic Optimization
|
2014
|
Diederik P. Kingma
Jimmy Ba
|
2
|
|
+
PDF
Chat
|
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
|
2016
|
Ruining He
Julian McAuley
|
2
|
|
+
|
Session-based Recommendations with Recurrent Neural Networks
|
2016
|
BalĂĄzs Hidasi
Alexandros Karatzoglou
Linas Baltrunas
Domonkos Tikk
|
2
|
|
+
PDF
Chat
|
Self-Attentive Sequential Recommendation
|
2018
|
Wang-Cheng Kang
Julian McAuley
|
2
|
|
+
|
Next Item Recommendation with Self-Attention
|
2018
|
Shuai Zhang
Yi Tay
Lina Yao
Aixin Sun
|
2
|
|
+
PDF
Chat
|
Explainable Reasoning over Knowledge Graphs for Recommendation
|
2019
|
Xiang Wang
Dingxian Wang
Canran Xu
Xiangnan He
Yixin Cao
TatâSeng Chua
|
2
|
|
+
|
Neural Collaborative Filtering
|
2017
|
Xiangnan He
Lizi Liao
Hanwang Zhang
Liqiang Nie
Xia Hu
TatâSeng Chua
|
2
|
|
+
PDF
Chat
|
Adversarial Collaborative Auto-encoder for Top-N Recommendation
|
2019
|
Yuan Feng
Lina Yao
Boualem Benatallah
|
2
|
|
+
|
BPR: Bayesian Personalized Ranking from Implicit Feedback
|
2012
|
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
|
2
|
|
+
|
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
|
2017
|
Ting Chen
Yizhou Sun
|
2
|
|
+
PDF
Chat
|
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
|
2018
|
BalĂĄzs Hidasi
Alexandros Karatzoglou
|
2
|
|
+
PDF
Chat
|
Representation Learning for Attributed Multiplex Heterogeneous Network
|
2019
|
Yukuo Cen
Xu Zou
Jianwei Zhang
Hongxia Yang
Jingren Zhou
Jie Tang
|
2
|
|
+
PDF
Chat
|
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation
|
2019
|
Junliang Yu
Min Gao
Hongzhi Yin
Jundong Li
Chongming Gao
Qinyong Wang
|
2
|
|
+
|
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
|
2019
|
Thanh Tran
Renee Sweeney
Kyumin Lee
|
2
|
|
+
PDF
Chat
|
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
|
2018
|
Jiaxi Tang
Ke Wang
|
2
|
|
+
|
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
|
2017
|
Jaeyoon Yoo
Heonseok Ha
Jihun Yi
Jongha Ryu
Chanju Kim
Jung-Woo Ha
Younghan Kim
Sungroh Yoon
|
1
|
|
+
PDF
Chat
|
Translation-based Recommendation
|
2017
|
Ruining He
Wang-Cheng Kang
Julian McAuley
|
1
|
|
+
|
Topology Adaptive Graph Convolutional Networks
|
2017
|
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
Soummya Kar
|
1
|
|
+
|
Adversarial Training Towards Robust Multimedia Recommender System
|
2018
|
Jinhui Tang
Xiaoyu Du
Xiangnan He
Fajie Yuan
Qi Tian
TatâSeng Chua
|
1
|
|
+
|
Cold-start playlist recommendation with multitask learning
|
2018
|
Dawei Chen
Cheng Soon Ong
Aditya Krishna Menon
|
1
|
|
+
PDF
Chat
|
Heterogeneous Graph Attention Network
|
2019
|
Xiao Wang
Houye Ji
Chuan Shi
Bai Wang
Yanfang Ye
Peng Cui
Philip S. Yu
|
1
|
|
+
|
Simplifying Graph Convolutional Networks
|
2019
|
Felix Wu
Tianyi Zhang
Amauri H. Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
|
1
|
|
+
|
Preventive and Reactive Cyber Defense Dynamics Is Globally Stable
|
2017
|
Ren Zheng
Wenlian Lu
Shouhuai Xu
|
1
|
|
+
|
Adaptive Epidemic Dynamics in Networks
|
2014
|
Shouhuai Xu
Wenlian Lu
Li Xu
Zhenxin Zhan
|
1
|
|
+
PDF
Chat
|
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
|
2019
|
Cheng Wang
Mathias Niepert
Hui Li
|
1
|
|
+
PDF
Chat
|
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
|
2016
|
Ruining He
Julian McAuley
|
1
|
|
+
|
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
|
2015
|
Alec Radford
Luke Metz
Soumith Chintala
|
1
|
|
+
PDF
Chat
|
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering
|
2017
|
Reinhard Heckel
Michail Vlachos
Thomas Parnell
Celestine Duenner
|
1
|
|
+
PDF
Chat
|
Analysis and Control of Epidemics: A Survey of Spreading Processes on Complex Networks
|
2016
|
Cameron Nowzari
VĂctor M. Preciado
George J. Pappas
|
1
|
|
+
PDF
Chat
|
A Stochastic Model of Active Cyber Defense Dynamics
|
2013
|
Shouhuai Xu
Wenlian Lu
Hualun Li
|
1
|
|
+
PDF
Chat
|
Visually-Aware Fashion Recommendation and Design with Generative Image Models
|
2017
|
Wang-Cheng Kang
Fang Chen
Zhaowen Wang
Julian McAuley
|
1
|
|
+
|
Security Evaluation of the Cyber Networks Under Advanced Persistent Threats
|
2017
|
LuâXing Yang
Pengdeng Li
Xiaofan Yang
Yuan Yan Tang
|
1
|
|
+
PDF
Chat
|
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
|
2017
|
Yi Tay
Luu Anh Tuan
Minh C. Phan
Siu Cheung Hui
|
1
|
|
+
|
Towards Principled Methods for Training Generative Adversarial Networks
|
2017
|
MartĂn Arjovsky
LĂ©on Bottou
|
1
|
|
+
|
Deep Adversarial Social Recommendation
|
2019
|
Wenqi Fan
Tyler Derr
Yao Ma
Jianping Wang
Jiliang Tang
Qing Li
|
1
|
|
+
|
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
|
2019
|
Qiong Wu
Yong Liu
Chunyan Miao
Binqiang Zhao
Yin Zhao
Lu Guan
|
1
|
|
+
|
Adversarial tensor factorization for context-aware recommendation
|
2019
|
Huiyuan Chen
Jing Li
|
1
|
|
+
|
Adversarial Learning for Personalized Tag Recommendation
|
2020
|
Erik Quintanilla
Yogesh Singh Rawat
Andrey Sakryukin
Mubarak Shah
Mohan Kankanhalli
|
1
|
|
+
|
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
|
2020
|
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
Kyung-Min Kim
Jung-Woo Ha
Hyunwoo J. Kim
|
1
|
|
+
|
Self-supervised Learning for Deep Models in Recommendations.
|
2020
|
Tiansheng Yao
Xinyang Yi
Derek Zhiyuan Cheng
Felix X. Yu
Aditya Krishna Menon
Lichan Hong
Ed H.
Steve Tjoa
Jieqi Kang
Evan Ettinger
|
1
|
|
+
PDF
Chat
|
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
|
2019
|
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
|
1
|
|
+
PDF
Chat
|
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
|
2020
|
Kun Zhou
Hui Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
|
1
|
|
+
PDF
Chat
|
Neural Graph Collaborative Filtering
|
2019
|
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
TatâSeng Chua
|
1
|
|
+
PDF
Chat
|
Disentangled Graph Collaborative Filtering
|
2020
|
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
TatâSeng Chua
|
1
|
|
+
PDF
Chat
|
IRGAN
|
2017
|
Jun Wang
Lantao Yu
Weinan Zhang
Yu Gong
Yinghui Xu
Benyou Wang
Peng Zhang
Dell Zhang
|
1
|