44 citations · 53 across the 4 of their papers we have counts for
4 papers
Adaptive physics-informed neural networks for dynamic thermo-mechanical coupling problems in large-size-ratio functionally graded materials
Lin Qiu, Yanjie Wang, Tian He +2
In this paper, we present the adaptive physics-informed neural networks (PINNs) for resolving three dimensional (3D) dynamic thermo-mechanical coupling problems in large-size-ratio…
A Relational Tucker Decomposition for Multi-Relational Link Prediction
Yanjie Wang, Samuel Broscheit, Rainer Gemulla
We propose the Relational Tucker3 (RT) decomposition for multi-relational link prediction in knowledge graphs. We show that many existing knowledge graph embedding models are speci…
On Evaluating Embedding Models for Knowledge Base Completion
Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla +2
Knowledge bases contribute to many web search and mining tasks, yet they are often incomplete. To add missing facts to a given knowledge base, various embedding models have been pr…
On Multi-Relational Link Prediction with Bilinear Models
Yanjie Wang, Rainer Gemulla, Hui Li
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, t…