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Multi-Behavior Hypergraph-Enhanced Transformer for Sequential
  Recommendation
v1v2 (latest)

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Knowledge Discovery and Data Mining (KDD), 2022
12 July 2022
Yuhao Yang
Chao Huang
Lianghao Xia
Yuxuan Liang
Yanwei Yu
Chenliang Li
    HAI
ArXiv (abs)PDFHTMLGithub (67★)

Papers citing "Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation"

36 / 36 papers shown
Title
Generative Sequential Recommendation via Hierarchical Behavior Modeling
Generative Sequential Recommendation via Hierarchical Behavior Modeling
Zhefan Wang
Guokai Yan
Jinbei Yu
Siyu Gu
Jingyan Chen
Peng Jiang
Zhiqiang Guo
Min Zhang
77
0
0
05 Nov 2025
IntSR: An Integrated Generative Framework for Search and Recommendation
IntSR: An Integrated Generative Framework for Search and Recommendation
Huimin Yan
Longfei Xu
Junjie Sun
Ni Ou
Wei Luo
Xing Tan
Ran Cheng
Kaikui Liu
Xiangxiang Chu
109
0
0
25 Sep 2025
Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
Yongqiang Han
Kai Cheng
Kefan Wang
Tong Xu
93
0
0
28 Aug 2025
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature DenoisingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Xiaoxi Cui
Weihai Lu
Yu Tong
Yiheng Li
Zhejun Zhao
DiffM
112
6
0
07 Aug 2025
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought TokenizationACM Conference on Recommender Systems (RecSys), 2025
Luyi Ma
Wanjia Zhang
Kai Zhao
Abhishek Kulkarni
Lalitesh Morishetti
...
Kamiya Motwani
Malay Patel
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4TS
43
1
0
19 Jul 2025
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen Ma
Fenglong Ma
200
4
0
18 May 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
MMHCL: Multi-Modal Hypergraph Contrastive Learning for RecommendationACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) (TOMM), 2025
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
Wei Wei
Xin Liu
Zhen Cui
265
3
0
23 Apr 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Jiakai Tang
Sunhao Dai
Teng Shi
Jun Xu
X. Chen
Wen Chen
Wu Jian
Yuning Jiang
LRM
376
33
0
28 Mar 2025
Multi-Behavior Recommender Systems: A SurveyPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Kyungho Kim
Sunwoo Kim
Geon Lee
Jinhong Jung
Kijung Shin
AI4CE
142
2
0
10 Mar 2025
Joint Modeling in Recommendations: A Survey
Joint Modeling in Recommendations: A Survey
Xiangyu Zhao
Yichao Wang
Bo Chen
Jingtong Gao
Yuhao Wang
Xiaopeng Li
Pengyue Jia
Qiang Liu
Huifeng Guo
Ruiming Tang
193
1
0
28 Feb 2025
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
PCL: Prompt-based Continual Learning for User Modeling in Recommender SystemsThe Web Conference (WWW), 2025
M. Yang
Fan Yang
Yanhui Guo
Shaoyuan Xu
Tianchen Zhou
Yetian Chen
Simone Shao
Jia-Wei Liu
Yan Gao
CLLVLM
183
0
0
26 Feb 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
526
7
0
17 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model
DiffGraph: Heterogeneous Graph Diffusion ModelWeb Search and Data Mining (WSDM), 2025
Zongwei Li
Lianghao Xia
Hua Hua
Shijie Zhang
Shuangyang Wang
Chenyu Huang
179
11
0
04 Jan 2025
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
Chuan He
Yongchao Liu
Qiang Li
Weiqiang Wang
Xin Fu
Xinyi Fu
Chuntao Hong
Xinwei Yao
249
0
0
31 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation SystemsInternational Conference on Learning Representations (ICLR), 2024
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
202
13
0
29 Nov 2024
VisualLens: Personalization through Task-Agnostic Visual History
VisualLens: Personalization through Task-Agnostic Visual History
Peng Guo
Deqing Fu
Kai Sun
Y. Lu
Mohammad Kachuee
...
Kanika Narang
Mustafa Canim
Yue Liu
Anuj Kumar
Xin Luna Dong
AI4TS
350
0
0
25 Nov 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Luyi Ma
Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
Praveen Kanumala
Gabriele Tolomei
Sushant Kumar
Sushant Kumar
Kannan Achan
225
11
0
16 Oct 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
173
13
0
11 Sep 2024
Denoising Pre-Training and Customized Prompt Learning for Efficient
  Multi-Behavior Sequential Recommendation
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
Hao Wang
Yongqiang Han
Kefan Wang
Kai Cheng
Zhen Wang
Wei Guo
Yong Liu
Defu Lian
Enhong Chen
153
4
0
21 Aug 2024
DIET: Customized Slimming for Incompatible Networks in Sequential
  Recommendation
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
Kairui Fu
Shengyu Zhang
Zheqi Lv
Jingyuan Chen
Jiwei Li
172
7
0
13 Jun 2024
SelfGNN: Self-Supervised Graph Neural Networks for Sequential
  Recommendation
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
Yuxi Liu
Lianghao Xia
Chao Huang
151
45
0
31 May 2024
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
Shereen Elsayed
Ahmed Rashed
Lars Schmidt-Thieme
222
3
0
29 Apr 2024
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air
  Quality Estimation
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
Xin Zhang
Ling Chen
Xing Tang
Hongyu Shi
100
0
0
02 Apr 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for
  Traffic Forecasting
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju
Yusheng Zhao
Yifang Qin
Siyu Yi
Jingyang Yuan
Zhiping Xiao
Xiao Luo
Xiting Yan
Ming Zhang
203
36
0
02 Mar 2024
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential
  Recommendation
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
Jiajie Su
Chaochao Chen
Zibin Lin
Xi Li
Weiming Liu
Xiaolin Zheng
136
49
0
22 Feb 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series
  Forecasting
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Zongjiang Shang
Ling Chen
AI4TS
116
7
0
17 Jan 2024
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket
  Recommendation
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
Zi-Feng Mai
Chang-Dong Wang
Zhongjie Zeng
Ya Li
Jiaquan Chen
Philip S. Yu
128
1
0
26 Dec 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
GraphPro: Graph Pre-training and Prompt Learning for RecommendationThe Web Conference (WWW), 2023
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
346
34
0
28 Nov 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Dynamic Hypergraph Structure Learning for Traffic Flow ForecastingIEEE International Conference on Data Engineering (ICDE), 2023
Yusheng Zhao
Xiao Luo
Wei Ju
C. L. Philip Chen
Xiansheng Hua
Ming Zhang
AI4TS
175
47
0
21 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical
  Graph Attention Approach
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach
Dong Li
Divya Bhargavi
V. Ravipati
253
6
0
06 Sep 2023
Hypergraph Isomorphism Computation
Hypergraph Isomorphism ComputationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yifan Feng
Jiashu Han
Shihui Ying
Yue Gao
72
17
0
26 Jul 2023
Graph Masked Autoencoder for Sequential Recommendation
Graph Masked Autoencoder for Sequential RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yaowen Ye
Lianghao Xia
Chao Huang
297
69
0
08 May 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Xubin Ren
Lianghao Xia
Jiashu Zhao
D. Yin
Chao Huang
184
120
0
04 May 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
186
32
0
17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation LearningNeural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
410
237
0
11 Apr 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
341
6
0
17 Dec 2022
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