Dual intent view contrastive learning for knowledge aware recommender systems.

Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.

The complete mitochondrial genome of the sea carp, Cyprinus acutidorsalis (Cypriniformes: Cyprinidae).

The complete mitochondrial genome of sea carp Cyprinus acutidorsalis was determined in this study. The genome was 16,579 bp in length. As in other vertebrates, it consisted of 13 protein-coding genes, 22 transfer RNA (tRNA) genes, 2 ribosomal RNA (rRNA) genes, and 1 non-coding control region.