ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.05584
  4. Cited By
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential
  Recommendation
v1v2 (latest)

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

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"

30 / 30 papers shown
Title
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 Perspective
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen Ma
Fenglong Ma
77
1
0
18 May 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
Wei Wei
Xin Liu
Zhen Cui
84
0
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
158
10
0
28 Mar 2025
Multi-Behavior Recommender Systems: A Survey
Kyungho Kim
Sunwoo Kim
Geon Lee
Jinhong Jung
Kijung Shin
AI4CE
81
0
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
88
0
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 Systems
M. Yang
Fan Yang
Yanhui Guo
Shaoyuan Xu
Tianchen Zhou
Yetian Chen
Simone Shao
Jia-Wei Liu
Yan Gao
CLLVLM
108
0
0
26 Feb 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
235
3
0
17 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model
DiffGraph: Heterogeneous Graph Diffusion Model
Zongwei Li
Lianghao Xia
Hua Hua
Shijie Zhang
Shuangyang Wang
Chenyu Huang
77
3
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
129
0
0
31 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
106
8
0
29 Nov 2024
VisualLens: Personalization through Visual History
VisualLens: Personalization through Visual History
Wang Zhu
Deqing Fu
Kai Sun
Y. Lu
Zhaojiang Lin
...
Kanika Narang
Mustafa Canim
Yue Liu
Anuj Kumar
Xin Luna Dong
AI4TS
174
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
Kaushiki Nag
Sushant Kumar
Sushant Kumar
Kannan Achan
128
5
0
16 Oct 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
82
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
79
3
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
89
20
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
112
2
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
47
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
94
28
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
85
28
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
76
4
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
60
1
0
26 Dec 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
157
17
0
28 Nov 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Yusheng Zhao
Xiao Luo
Wei Ju
C. L. Philip Chen
Xiansheng Hua
Ming Zhang
AI4TS
104
28
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
108
5
0
06 Sep 2023
Hypergraph Isomorphism Computation
Hypergraph Isomorphism Computation
Yifan Feng
Jiashu Han
Shihui Ying
Yue Gao
37
8
0
26 Jul 2023
Graph Masked Autoencoder for Sequential Recommendation
Graph Masked Autoencoder for Sequential Recommendation
Yaowen Ye
Lianghao Xia
Chao Huang
106
45
0
08 May 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative Filtering
Xubin Ren
Lianghao Xia
Jiashu Zhao
D. Yin
Chao Huang
81
81
0
04 May 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential Recommendation
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
75
21
0
17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
188
163
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
131
5
0
17 Dec 2022
1