Graph Cross-Correlated Network for Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Hao, Bei, Yuanchen, Huang, Wenbing, Chen, Shengyuan, Huang, Feiran, Huang, Xiao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Feedback Reciprocal Graph Collaborative Filtering
by: Chen, Weijun, et al.
Published: (2024)
by: Chen, Weijun, et al.
Published: (2024)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024)
by: Zhang, Yijie, et al.
Published: (2024)
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
by: Liu, Ruochen, et al.
Published: (2025)
by: Liu, Ruochen, et al.
Published: (2025)
Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)
by: Huang, Feiran, et al.
Published: (2024)
AliBoost: Ecological Boosting Framework in Alibaba Platform
by: Shen, Qijie, et al.
Published: (2025)
by: Shen, Qijie, et al.
Published: (2025)
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)
by: Zhang, Qinggang, et al.
Published: (2025)
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
by: Yao, Hongyu, et al.
Published: (2025)
by: Yao, Hongyu, et al.
Published: (2025)
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph
by: Chen, Qiaosheng, et al.
Published: (2025)
by: Chen, Qiaosheng, et al.
Published: (2025)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
by: Zhang, Peiyan, et al.
Published: (2023)
by: Zhang, Peiyan, et al.
Published: (2023)
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
by: Zhang, Weizhi, et al.
Published: (2025)
by: Zhang, Weizhi, et al.
Published: (2025)
A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)
by: Cao, Jiangxia, et al.
Published: (2024)
Better Late Than Never: Formulating and Benchmarking Recommendation Editing
by: Lai, Chengyu, et al.
Published: (2024)
by: Lai, Chengyu, et al.
Published: (2024)
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
by: Huang, Tao, et al.
Published: (2025)
by: Huang, Tao, et al.
Published: (2025)
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)
by: Liu, Yuxi, et al.
Published: (2024)
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)
by: Wang, Yansong, et al.
Published: (2025)
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)
by: Lin, Zhutian, et al.
Published: (2024)
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)
by: Wang, Yuling, et al.
Published: (2024)
Revisiting Self-Attentive Sequential Recommendation
by: Huang, Zan
Published: (2025)
by: Huang, Zan
Published: (2025)
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)
by: Shi, Yuxiang, et al.
Published: (2022)
MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
by: Huang, Xu, et al.
Published: (2026)
by: Huang, Xu, et al.
Published: (2026)
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
by: Zhang, Peiyan, et al.
Published: (2024)
by: Zhang, Peiyan, et al.
Published: (2024)
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
by: Li, Jianan, et al.
Published: (2025)
by: Li, Jianan, et al.
Published: (2025)
Dual-Channel Multiplex Graph Neural Networks for Recommendation
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
by: Huang, Lei, et al.
Published: (2024)
by: Huang, Lei, et al.
Published: (2024)
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Knowledge Graph Pruning for Recommendation
by: Lin, Fake, et al.
Published: (2024)
by: Lin, Fake, et al.
Published: (2024)
Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
by: Wu, Xinglong, et al.
Published: (2024)
by: Wu, Xinglong, et al.
Published: (2024)
Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation
by: Ye, Xiaoxin, et al.
Published: (2025)
by: Ye, Xiaoxin, et al.
Published: (2025)
Graph Augmentation for Recommendation
by: Zhang, Qianru, et al.
Published: (2024)
by: Zhang, Qianru, et al.
Published: (2024)
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
by: Chen, Fangda, et al.
Published: (2026)
by: Chen, Fangda, et al.
Published: (2026)
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)
by: Shen, Junhao, et al.
Published: (2024)
Position-aware Graph Transformer for Recommendation
by: Chen, Jiajia, et al.
Published: (2024)
by: Chen, Jiajia, et al.
Published: (2024)
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)
by: Qin, Zhida, et al.
Published: (2026)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)
by: Wu, Renzhi, et al.
Published: (2025)
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
by: Guan, Jianyu, et al.
Published: (2024)
by: Guan, Jianyu, et al.
Published: (2024)
Similar Items
-
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
by: Chen, Hao, et al.
Published: (2024) -
Feedback Reciprocal Graph Collaborative Filtering
by: Chen, Weijun, et al.
Published: (2024) -
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024) -
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024) -
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
by: Liu, Ruochen, et al.
Published: (2025)