35 citations · 54 across the 8 of their papers we have counts for
8 papers
Time Sensitive Knowledge Editing through Efficient Finetuning
Xiou Ge, Ali Mousavi, Edouard Grave +5
Large Language Models (LLMs) have demonstrated impressive capability in different tasks and are bringing transformative changes to many domains. However, keeping the knowledge in L…
Knowledge Graph Embedding: An Overview
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Many mathematical models have been leveraged to design embeddings for representing Knowledge Graph (KG) entities and relations for link prediction and many downstream tasks. These…
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge graph entity typing (KGET) is a task to predict the missing entity types in knowledge graphs (KG). Previously, KG embedding (KGE) methods tried to solve the KGET task by…
Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India
Xiou Ge, Sarah E. Brown, Pushpendra Rana +2
The incorporation of trees on farms can help to improve livelihoods and build resilience among small-holder farmers in developing countries. On-farm trees can help gen- erate addit…
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, Compound…
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Translation, rotation, and scaling are three commonly used geometric manipulation operations in image processing. Besides, some of them are successfully used in developing effectiv…