LLMRec: Large Language Models with Graph Augmentation for Recommendation 来源:WSDM 2024 摘...
LLMRec: Large Language Models with Graph Augmentation for Recommendation 来源:WSDM 2024 摘...
另外一则趣事分享:面试时提到了这个方法,负责人说他看了一眼题目就没看了,显然用到奇异值分解的方法在工业界没什么价值~
ICLR'23 LightGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDATIONLightGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDATION LightGCL:简...
Generative Sequential Recommendation with GPTRec 来源:SIGIR 2023 摘要:顺序推荐旨在预测序列中的下一个项目。最近,...
Graph Masked Autoencoder for Sequential Recommendation 来源:SIGIR 2023 摘要:目前对比方法在推荐领域大放异彩...
多个STAM应该是提取不同潜在空间中的特征吧,高阶交互信息应该是公式5层层传播的结果?
WWW'22 STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based RecommendationSTAM: A Spatiotemporal Aggregation Method for Graph NeuralNetwork-based Recommendation ...
LightGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDATION LightGCL:简...
Multi-level Contrastive Learning Framework for Sequential Recommendation 用于序列推荐的多层次对比学习...
论文标题:Dual Space Graph Contrastive Learning论文链接:https://arxiv.org/abs/2201.07409[https:/...
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation XSimGCL...
Triangle Graph Interest Network for Click-through Rate Prediction 三角形图兴趣网络的点击率预测 来源:WSD...
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems 用于推荐系...
A Review-aware Graph Contrastive Learning Framework for Recommendation 用于推荐的评论感知图对比学习框架...
STAM: A Spatiotemporal Aggregation Method for Graph NeuralNetwork-based Recommendation ...
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation...
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems ...
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention 来源:CIKM 21 摘要:双...