A task‐centric knowledge graph construction method based on multi‐modal representation learning for industrial maintenance automation
Z Liu, Y Lu - Engineering Reports, 2024 - Wiley Online Library
Maintenance manuals are crucial information sources for maintenance and repair. Prior
studies explored factual knowledge extraction from textual documents. However …
studies explored factual knowledge extraction from textual documents. However …
Temporal knowledge graph reasoning triggered by memories
The task of inferring missing facts using the temporal knowledge graph (TKG) is important
and has been widely studied. Extrapolation in TKG inference is more challenging because …
and has been widely studied. Extrapolation in TKG inference is more challenging because …
Contrastive Hawkes graph neural networks with dynamic sampling for event prediction
As prevalent graph-structured data evolves, representation learning for dynamic graphs has
received widespread attention in recent years. Graph neural network on the dynamic graph …
received widespread attention in recent years. Graph neural network on the dynamic graph …
Confidence-based Modeling of Temporal Knowledge Graphs
B Yang, C Zhao, S Chen - Proceedings of the 2024 Guangdong-Hong …, 2024 - dl.acm.org
More and more information with temporal properties can be used to create knowledge
graphs as the big data era progresses. The incorporation of temporal information into …
graphs as the big data era progresses. The incorporation of temporal information into …
[PDF][PDF] Temporal Relevance for Representing Learning over Temporal Knowledge Graphs
Representation learning for link prediction is one of the leading approaches to deal with
incompleteness problem of real world knowledge graphs. Such methods are often called …
incompleteness problem of real world knowledge graphs. Such methods are often called …