A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects
Temporal characteristics are prominently evident in a substantial volume of knowledge,
which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia …
which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia …
Advancements in complex knowledge graph question answering: a survey
Y Song, W Li, G Dai, X Shang - Electronics, 2023 - mdpi.com
Complex Question Answering over Knowledge Graph (C-KGQA) seeks to solve complex
questions using knowledge graphs. Currently, KGQA systems achieve great success in …
questions using knowledge graphs. Currently, KGQA systems achieve great success in …
[PDF][PDF] Local and Global: Temporal Question Answering via Information Fusion.
Many models that leverage knowledge graphs (KGs) have recently demonstrated
remarkable success in question answering (QA) tasks. In the real world, many facts …
remarkable success in question answering (QA) tasks. In the real world, many facts …
A review of graph neural networks and pretrained language models for knowledge graph reasoning
J Ma, B Liu, K Li, C Li, F Zhang, X Luo, Y Qiao - Neurocomputing, 2024 - Elsevier
Abstract Knowledge Graph (KG) stores human knowledge facts in an intuitive graphical
structure but faces challenges such as incomplete construction or inability to handle new …
structure but faces challenges such as incomplete construction or inability to handle new …
Neural-symbolic methods for knowledge graph reasoning: A survey
Neural symbolic knowledge graph (KG) reasoning offers a promising approach that
combines the expressive power of symbolic reasoning with the learning capabilities inherent …
combines the expressive power of symbolic reasoning with the learning capabilities inherent …
FeQA: Fusion and enhancement of multi-source knowledge on question answering
J Zhang, B Huang, H Fujita, G Zeng, J Liu - Expert Systems with …, 2023 - Elsevier
In the question answering task, we usually need to reason the answer according to the
question. Question answering tasks mostly use the pretrained language model to obtain the …
question. Question answering tasks mostly use the pretrained language model to obtain the …
Faithful Temporal Question Answering over Heterogeneous Sources
Temporal question answering (QA) involves time constraints, with phrases such as"... in
2019" or"... before COVID". In the former, time is an explicit condition, in the latter it is implicit …
2019" or"... before COVID". In the former, time is an explicit condition, in the latter it is implicit …
Semantic-enhanced reasoning question answering over temporal knowledge graphs
C Du, X Li, Z Li - Journal of Intelligent Information Systems, 2024 - Springer
Abstract Question Answering Over Temporal Knowledge Graphs (TKGQA) is an important
topic in question answering. TKGQA focuses on accurately understanding questions …
topic in question answering. TKGQA focuses on accurately understanding questions …
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
Natural language question answering (QA) over structured data sources such as tables and
knowledge graphs (KGs) have been widely investigated, for example with Large Language …
knowledge graphs (KGs) have been widely investigated, for example with Large Language …
A survey on temporal knowledge graph embedding: Models and applications
Abstract Knowledge graph embedding (KGE), as a pivotal technology in artificial
intelligence, plays a significant role in enhancing the logical reasoning and management …
intelligence, plays a significant role in enhancing the logical reasoning and management …