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Found 3 papers, 3 papers with code
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Despite their effectiveness under cold scenarios, we observe that they underperform simple traditional collaborative filtering models under warm scenarios due to the lack of collaborative knowledge.
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
We investigate the replay buffer in rehearsal-based approaches for graph continual learning (GCL) methods.
Task-Equivariant Graph Few-shot Learning
To solve this problem, it is important for GNNs to be able to classify nodes with a limited number of labeled nodes, known as few-shot node classification.
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