106 citations · 221 across the 33 of their papers we have counts for
5 papers · 1 filter
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
Lingbing Guo, Weiqing Wang, Zhuo Chen +5
Reasoning system dynamics is one of the most important analytical approaches for many scientific studies. With the initial state of a system as input, the recent graph neural netwo…
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang, Ningyu Zhang, Zhuo Chen +3
The generation of molecules with desired properties has become increasingly popular, revolutionizing the way scientists design molecular structures and providing valuable support f…
Unleashing the Power of Transformer for Graphs
Lingbing Guo, Qiang Zhang, Huajun Chen
Despite recent successes in natural language processing and computer vision, Transformer suffers from the scalability problem when dealing with graphs. The computational complexity…
Distributed Representations of Entities in Open-World Knowledge Graphs
Lingbing Guo, Zhuo Chen, Jiaoyan Chen +7
Graph neural network (GNN)-based methods have demonstrated remarkable performance in various knowledge graph (KG) tasks. However, most existing approaches rely on observing all ent…
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Lingbing Guo, Qingheng Zhang, Weiyi Ge +2
Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of . Current KG completion…