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Session-based Recommendation with Graph Neural Networks
v1v2v3v4 (latest)

Session-based Recommendation with Graph Neural Networks

1 November 2018
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
    GNN
ArXiv (abs)PDFHTML

Papers citing "Session-based Recommendation with Graph Neural Networks"

50 / 342 papers shown
Continuous-Time Sequential Recommendation with Temporal Graph
  Collaborative Transformer
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerInternational Conference on Information and Knowledge Management (CIKM), 2021
Ziwei Fan
Zhiwei Liu
Jiawei Zhang
Yun Xiong
Lei Zheng
Philip S. Yu
239
215
0
14 Aug 2021
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural
  Network
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural NetworkKnowledge and Information Systems (KAIS), 2021
Jinpeng Chen
Haiyang Li
Xudong Zhang
Fan Zhang
Senzhang Wang
Kaimin Wei
Jiaqi Ji
194
8
0
12 Aug 2021
Label-informed Graph Structure Learning for Node Classification
Label-informed Graph Structure Learning for Node ClassificationInternational Conference on Information and Knowledge Management (CIKM), 2021
Liping Wang
Fenyu Hu
Shu Wu
Liang Wang
67
0
0
10 Aug 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph
  Convolutional Networks for Rumor Detection
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Lingwei Wei
Dou Hu
Wei Zhou
Zhaojuan Yue
Songlin Hu
172
123
0
26 Jul 2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via
  Differentiable Architecture Search
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Lei-tai Chen
Fajie Yuan
Jiaxi Yang
Min Yang
Chengming Li
150
4
0
15 Jul 2021
Heterogeneous Global Graph Neural Networks for Personalized
  Session-based Recommendation
Heterogeneous Global Graph Neural Networks for Personalized Session-based RecommendationWeb Search and Data Mining (WSDM), 2021
Yitong Pang
Lingfei Wu
Qi Shen
Yiming Zhang
Zhihua Wei
Fangli Xu
Ethan Chang
Bo Long
Jian Pei
346
130
0
08 Jul 2021
Unsupervised Proxy Selection for Session-based Recommender Systems
Unsupervised Proxy Selection for Session-based Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Junsu Cho
SeongKu Kang
Dongmin Hyun
Hwanjo Yu
170
23
0
08 Jul 2021
HCGR: Hyperbolic Contrastive Graph Representation Learning for
  Session-based Recommendation
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation
Naicheng Guo
Xiaolei Liu
Shaoshuai Li
Qiongxu Ma
Yunan Zhao
Bing Han
Lin Zheng
Kaixin Gao
Xiaobo Guo
159
8
0
06 Jul 2021
Introducing Self-Attention to Target Attentive Graph Neural Networks
Introducing Self-Attention to Target Attentive Graph Neural Networks
Sai Mitheran
Abhinav Java
Surya Kant Sahu
Arshad Shaikh
193
9
0
04 Jul 2021
A Behavior-aware Graph Convolution Network Model for Video
  Recommendation
A Behavior-aware Graph Convolution Network Model for Video Recommendation
Wei Zhuo
Kunchi Liu
Taofeng Xue
Beihong Jin
Beibei Li
Xinzhou Dong
He Chen
Wenhai Pan
Xuejian Zhang
Shuo Zhou
GNN
56
2
0
27 Jun 2021
Improving Sequential Recommendation Consistency with Self-Supervised
  Imitation
Improving Sequential Recommendation Consistency with Self-Supervised ImitationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Xu Yuan
Hongshen Chen
Yonghao Song
Xiaofang Zhao
Zhuoye Ding
Zhen He
Bo Long
145
24
0
26 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationNeural Information Processing Systems (NeurIPS), 2021
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
392
296
0
21 Jun 2021
Stability of Graph Convolutional Neural Networks to Stochastic
  Perturbations
Stability of Graph Convolutional Neural Networks to Stochastic PerturbationsSignal Processing (Signal Process.), 2021
Zhangyang Gao
Elvin Isufi
Alejandro Ribeiro
GNN
157
27
0
19 Jun 2021
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Dou Hu
Lingwei Wei
Wei Zhou
X. Huai
Zhiqi Fang
Songlin Hu
107
6
0
17 Jun 2021
Automated Self-Supervised Learning for Graphs
Automated Self-Supervised Learning for GraphsInternational Conference on Learning Representations (ICLR), 2021
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Shucheng Zhou
SSL
338
88
0
10 Jun 2021
Stability to Deformations of Manifold Filters and Manifold Neural
  Networks
Stability to Deformations of Manifold Filters and Manifold Neural NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2021
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
AAML
194
10
0
07 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge
  Dropping
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Zhangyang Gao
S. Bhattacharya
Leiming Zhang
Rick S. Blum
Alejandro Ribeiro
Brian M. Sadler
177
28
0
05 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
GraphMI: Extracting Private Graph Data from Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Zaixi Zhang
Qi Liu
Zhenya Huang
Hao Wang
Chengqiang Lu
Chuanren Liu
Enhong Chen
131
83
0
05 Jun 2021
Times Series Forecasting for Urban Building Energy Consumption Based on
  Graph Convolutional Network
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional NetworkApplied Energy (Appl. Energy), 2021
Yuqing Hu
X. Cheng
Suhang Wang
Jianli Chen
Tianxiang Zhao
Enyan Dai
GNNAI4TSAI4CE
110
107
0
27 May 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with
  Distributed CPU Servers and Serverless Threads
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless ThreadsUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
...
Jinliang Wei
Keval Vora
Ravi Netravali
Yang Wang
G. Xu
GNN
288
162
0
24 May 2021
Zero-Shot Recommender Systems
Zero-Shot Recommender Systems
Hao Ding
Yifei Ma
Hao Ding
Bernie Wang
Hao Wang
VLM
263
109
0
18 May 2021
Graph Learning based Recommender Systems: A Review
Graph Learning based Recommender Systems: A ReviewInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan.Z Sheng
M. Orgun
LongBing Cao
F. Ricci
Philip S. Yu
218
231
0
13 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
410
394
0
27 Apr 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia RecommendationACM Multimedia (ACM MM), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
288
309
0
19 Apr 2021
Multi-Party Dual Learning
Multi-Party Dual LearningIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Maoguo Gong
Yuan Gao
Yu Xie
A. K. Qin
Ke Pan
Yew-Soon Ong
143
11
0
14 Apr 2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional
  Network Search
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
Chunnan Wang
Bozhou Chen
Geng Li
Hongzhi Wang
FedMLGNN
98
17
0
09 Apr 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Zeyu Cui
Zekun Li
Shu Wu
Xiaoyu Zhang
Qiang Liu
Liang Wang
Mengmeng Ai
GNN
100
16
0
07 Apr 2021
Context-aware short-term interest first model for session-based
  recommendation
Context-aware short-term interest first model for session-based recommendation
Haomei Duan
Jinghua Zhu
60
1
0
29 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual
  Information Maximization
Learning Graph Representation by Aggregating Subgraphs via Mutual Information MaximizationNeurocomputing (Neurocomputing), 2021
Chenguang Wang
Ziwen Liu
SSL
221
21
0
24 Mar 2021
Learning with Group Noise
Learning with Group NoiseAAAI Conference on Artificial Intelligence (AAAI), 2021
Qizhou Wang
Jiangchao Yao
Chen Gong
Tongliang Liu
Biwei Huang
Hongxia Yang
Bo Han
139
11
0
17 Mar 2021
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity
  in a News Recommender System
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza
Chen Ding
145
7
0
15 Mar 2021
Improving Sequential Recommendation with Attribute-augmented Graph
  Neural Networks
Improving Sequential Recommendation with Attribute-augmented Graph Neural NetworksPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
Xinzhou Dong
Beihong Jin
Wei Zhuo
Beibei Li
Taofeng Xue
82
6
0
10 Mar 2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
Haifeng Li
Jun Cao
Jiawei Zhu
Qing Zhu
Guohua Wu
GNN
96
2
0
02 Mar 2021
Modeling Multi-Destination Trips with Sketch-Based Model
Modeling Multi-Destination Trips with Sketch-Based Model
Michal Daniluk
Barbara Rychalska
Konrad Goluchowski
Jacek Dkabrowski
134
5
0
22 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing
  Graph Convolutional Networks
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Haimin Zhang
Min Xu
Guoqiang Zhang
Kenta Niwa
155
13
0
20 Feb 2021
Sequential Recommendation in Online Games with Multiple Sequences, Tasks
  and User Levels
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User LevelsInternational Symposium on Spatial and Temporal Databases (SSTD), 2021
Si Chen
Yuqiu Qian
Hui Li
Chen Lin
OffRLLRM
173
6
0
13 Feb 2021
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
STAN: Spatio-Temporal Attention Network for Next Location RecommendationThe Web Conference (WWW), 2021
Yingtao Luo
Qiang Liu
Zhaocheng Liu
HAIAI4TS
236
396
0
08 Feb 2021
Out-of-Town Recommendation with Travel Intention Modeling
Out-of-Town Recommendation with Travel Intention ModelingAAAI Conference on Artificial Intelligence (AAAI), 2021
Haoran Xin
Xinjiang Lu
Tong Xu
Hao Liu
Jingjing Gu
Dejing Dou
Hui Xiong
AI4TS
152
22
0
29 Jan 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for
  Holistic Sequential Recommendation
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationThe Web Conference (WWW), 2021
Cheng-Mao Hsu
Cheng-Te Li
174
83
0
29 Jan 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative FilteringIndustrial Conference on Data Mining (IDM), 2020
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
270
81
0
08 Jan 2021
Batch-Constrained Distributional Reinforcement Learning for
  Session-based Recommendation
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Diksha Garg
Priyanka Gupta
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
OffRL
150
9
0
16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
615
168
0
16 Dec 2020
Cold-start Sequential Recommendation via Meta Learner
Cold-start Sequential Recommendation via Meta LearnerAAAI Conference on Artificial Intelligence (AAAI), 2020
Yujia Zheng
Siyi Liu
Zekun Li
Shu Wu
216
72
0
10 Dec 2020
Heterogeneous Graph Collaborative Filtering
Heterogeneous Graph Collaborative Filtering
Zekun Li
Yujia Zheng
Shu Wu
Xiaoyu Zhang
Liang Wang
178
6
0
13 Nov 2020
Dynamic Embeddings for Interaction Prediction
Dynamic Embeddings for Interaction Prediction
Zekarias T. Kefato
Sarunas Girdzijauskas
Nasrullah Sheikh
A. Montresor
HAI
151
9
0
10 Nov 2020
Session-aware Recommendation: A Surprising Quest for the
  State-of-the-art
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Sara Latifi
Noemi Mauro
Dietmar Jannach
232
48
0
06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
840
1,575
0
04 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive
  Semi-Supervised Learning over Large-scale Graphs
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Yunpeng Weng
Xu Chen
Liang Chen
Wei Liu
GNN
127
13
0
03 Nov 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng Li
GNN
200
96
0
25 Oct 2020
Temporal Collaborative Filtering with Graph Convolutional Neural
  Networks
Temporal Collaborative Filtering with Graph Convolutional Neural Networks
Esther Rodrigo Bonet
Duc Minh Nguyen
Nikos Deligiannis
AI4TS
45
6
0
13 Oct 2020
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