Abstract.The task of predicting multiple links within knowledge graphs (KGs) stands as a challenge in the field of knowledge graph analysis, a challenge increasingly resolvable due to advancements in natural language processing (NLP) and KG embedding techniques. This paper introduces a novel methodolog...
"A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning". Information Sciences 2023. paper (TASTER) Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen. "Temporal knowledge graph embedding via sparse transfer matrix". Information Sciences 2023...
focusing on research in two principal aspects:KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, andMulti-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.
Soft-position embedding:改进position embedding,将sentence tree上的节点也进行编号; Segment embedding:与BERT一致; 2.3 Seen Layer 动机:The input to K-BERT is a sentence tree, where the branch is the knowledge gained from KG. However, the risk raised with knowledge is that it can lead to changes...
Knowledge-enhanced recommendation (KER) aims to integrate the knowledge graph (KG) into collaborative filtering (CF) for alleviating the sparsity and cold start problems. The state-of-the-art graph neural network (GNN)–based methods mainly focus on expl
知识图谱嵌入 knowledge graph embedding:将包含实体和关系的KG的三元组嵌入到连续的向量空间中,以便简化操作,同时保留KG的固有结构。KG嵌入有利于后续任务的开展,例如知识图谱补全(KG completion)、关系提取(relation extraction)、实体分类(entity classification)、实体决议(entity resolution)等. ...
In this paper, we propose KANO, a new KG-enhanced molecular contrastive learning with functional prompt method, which consists of three main components: (1) ElementKG construction and embedding, (2) contrastive-based pre-training and (3) prompt-enhanced fine-tuning. An overview of KANO is show...
To these ends, this paper proposes Soft Logical rules enhanced Embedding (SoLE), a novel KG embedding model equipped with a joint training algorithm over soft rules and KG facts to inject the logical background knowledge of rules into embeddings, as well as forward chaining inference over rules...
知识图谱与推荐系统之《Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation》MKR,程序员大本营,技术文章内容聚合第一站。
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