Results 61 to 70 of about 468,662 (346)

Knowledge Graph Completion to Predict Polypharmacy Side Effects

, 2018
The polypharmacy side effect prediction problem considers cases in which two drugs taken individually do not result in a particular side effect; however, when the two drugs are taken in combination, the side effect manifests. In this work, we demonstrate
AM Manicone, D Sridhar, D Szklarczyk, DA Fishman, F Cheng, GE Hinton, HG Munshi, M Kuhn, M Zitnik, N. P. Tatonetti, W Zhang   +10 more
core   +1 more source

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning [PDF]

, 2019
Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing ones.
Bernstein, Abraham, Chen, Huajun, Chen, Jiaoyan, Paudel, Bibek, Wang, Liang, Zhang, Wei, Zhang, Wen, Zhu, Hai   +7 more
core   +1 more source

Knowledge Graph Completion with Knowledge Enhancement and Contrastive Learning [PDF]

Jisuanji gongcheng
Knowledge Graph Completion(KGC) is an important means of improving the quality of KGs. Existing methods for KGC are mainly divided into structure- and description-based methods.
Juan LIU, Youxiang DUAN, Yuxi LU, Lu ZHANG
doaj   +1 more source

On Multi-Relational Link Prediction with Bilinear Models [PDF]

, 2017
We study bilinear embedding models for the task of multi-relational link prediction and knowledge graph completion. Bilinear models belong to the most basic models for this task, they are comparably efficient to train and use, and they can provide good ...
Gemulla, Rainer, Li, Hui, Wang, Yanjie
core   +3 more sources

A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention

IEEE Access
In recent times, extensive scholarly focus has been directed towards the knowledge graph completion (KGC) due to the large number of triples that perform well in training tasks. However, the relations of realistic knowledge graphs (KGs) usually have long-
Hongfang Gong, Yingjing Ding, Minyi Ma
doaj   +1 more source

RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference

Big Data Mining and Analytics
The objective of knowledge graph completion is to comprehend the structure and inherent relationships of domain knowledge, thereby providing a valuable foundation for knowledge reasoning and analysis.
Wenying Guo, Shengdong Du, Jie Hu, Fei Teng, Yan Yang, Tianrui Li   +5 more
doaj   +1 more source

Translation-Based Embeddings with Octonion for Knowledge Graph Completion

Applied Sciences, 2022
Knowledge representation learning achieves the automatic completion of knowledge graphs (KGs) by embedding entities into continuous low-dimensional vector space.
Mei Yu, Chen Bai, Jian Yu, Mankun Zhao, Tianyi Xu, Hongwei Liu, Xuewei Li, Ruiguo Yu   +7 more
doaj   +1 more source

Knowledge Enhanced Graph Neural Networks for Graph Completion

, 2023
Graph data is omnipresent and has a wide variety of applications, such as in natural science, social networks, or the semantic web. However, while being rich in information, graphs are often noisy and incomplete. As a result, graph completion tasks, such as node classification or link prediction, have gained attention. On one hand, neural methods, such
Werner, Luisa, Layaïda, Nabil, Genevès, Pierre, Chlyah, Sarah   +3 more
openaire   +3 more sources

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

, 2017
Knowledge base completion (KBC) aims to predict missing information in a knowledge base.In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC:how to answer queries concerning test entities not observed at training time ...
Hamaguchi, Takuo, Matsumoto, Yuji, Oiwa, Hidekazu, Shimbo, Masashi   +3 more
core   +1 more source

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs [PDF]

, 2019
Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications. Crossover interactions --- bi-directional effects between entities and relations --- help select related ...
Bordes Antoine, Bordes Antoine, Glorot Xavier, Ji Guoliang, Lin Yankai, Liu Hanxiao, Nickel Maximilian, Nickel Maximilian, Shi Baoxu, Srivastava Nitish, Trouillon Théo, Wang Quan, Wang Zhen, Xie Ruobing, Yang Bishan   +14 more
core   +1 more source