An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
Haoran YangXiangyu ZhaoYicong LiHongxu ChenGuandong XuPublished in: NeurIPS (2023)
Keyphrases
- random walk
- recommender systems
- training process
- graph partitioning
- graph representation
- graph theoretic
- weighted graph
- graph theory
- directed graph
- graph structure
- connected components
- graph based algorithm
- supervised learning
- graph clustering
- link analysis
- directed acyclic graph
- graph model
- rule selection
- data sets
- graph databases
- graph mining
- semi supervised
- probabilistic model
- e learning
- machine learning