scholar.google.com › citations
Apr 14, 2023 · Self-supervised methods aim to build correct positive/negative sample pairs to direct better node/graph representation learning. The recommender ...
Knowledge Graph Recommendation (KGR), which aims to incorporate Knowledge Graphs (KGs) as auxiliary information into recommender systems and effectively ...
People also ask
Is knowledge graph supervised or unsupervised?
What are self-supervised representation learning methods?
A collection of papers and resources about self-supervised learning (SSL) for recommendation (Rec). Recommender systems personalize suggestions to combat ...
To address these issues, we propose a Self-Supervised Reinforcement Learning (SSRL) framework combined with dual-reward for knowledge-aware recommendation ...
Aug 24, 2021 · In our framework, we first exploit the session-item graph to construct two views (item view and session view) that exhibit the internal and ...
Socially-Aware Self-Supervised Tri-Training for Recommendation (Graph + CL) ... Knowledge Graph Self-Supervised Rationalization for Recommendation (Graph + CL).
This paper combines self-supervised learning with co- training, and develops a framework to enhance session-based recommendation, which can be remarkably ...
S 2 -DHCN [20]: constructs two types of hypergraphs to learn inter-and intra-session information and uses self-supervised learning to enhance session-based ...
In this paper, for informative session-based data augmentation, we combine self-supervised learning with co-training, and then develop a framework to enhance ...
Missing: Dual- | Show results with:Dual-
Another relevant survey pays attention to the pre-training of recommendation models. However, its focus is transferring knowledge between different domains by ...