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. 2309.03169
  4. Cited By
Impression-Informed Multi-Behavior Recommender System: A Hierarchical
  Graph Attention Approach

Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach

6 September 2023
Dong Li
Divya Bhargavi
V. Ravipati
ArXivPDFHTML

Papers citing "Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach"

5 / 5 papers shown
Title
Revisiting Recommendation Loss Functions through Contrastive Learning
  (Technical Report)
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)
Dong Li
Ruoming Jin
Bin Ren
33
4
0
13 Dec 2023
Group-Aware Interest Disentangled Dual-Training for Personalized
  Recommendation
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation
Xiao-lin Liu
Liangwei Yang
Zhiwei Liu
Xiaohan Li
Mingdai Yang
Chen Wang
Philip S. Yu
26
5
0
16 Nov 2023
Knowledge-Enhanced Hierarchical Graph Transformer Network for
  Multi-Behavior Recommendation
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Xiyue Zhang
Hongsheng Yang
J. Pei
Liefeng Bo
126
193
0
08 Oct 2021
Graph Meta Network for Multi-Behavior Recommendation
Graph Meta Network for Multi-Behavior Recommendation
Lianghao Xia
Yong-mei Xu
Chao Huang
Peng Dai
Liefeng Bo
AI4CE
64
187
0
08 Oct 2021
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
187
1,171
0
03 Mar 2020
1