17 citations · 36 across the 8 of their papers we have counts for
4 papers · 1 filter
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs
Kai Wang, Yuwei Xu, Zhiyong Wu +1
Knowledge Graph (KG) inductive reasoning, which aims to infer missing facts from new KGs that are not seen during training, has been widely adopted in various applications. One cri…
Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
Xianjie Zhang, Jiahao Sun, Chen Gong +4
The emergence of on-demand ride pooling services allows each vehicle to serve multiple passengers at a time, thus increasing drivers' income and enabling passengers to travel at lo…
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
Kai Wang, Siqiang Luo, Dan Lin
We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning. For the first time, we link the path redundancy issue in the state-of-the-art K…
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Dan Lin +1
Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic spa…