1 code implementation • 19 Feb 2024 • Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce
Compared with static knowledge graphs, temporal knowledge graphs (tKG), which can capture the evolution and change of information over time, are more realistic and general.
1 code implementation • 12 Jan 2024 • Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
To be specific, we first teach LLM to translate the context into a temporal graph (TG).
1 code implementation • 25 Dec 2023 • Siheng Xiong, Yuan Yang, Ali Payani, James C Kerce, Faramarz Fekri
We first convert TKGs into a temporal event knowledge graph (TEKG) which has a more explicit representation of time in term of nodes of the graph.
1 code implementation • 24 May 2023 • Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
Translating natural language sentences to first-order logic (NL-FOL translation) is a longstanding challenge in the NLP and formal logic literature.
no code implementations • 9 Jun 2022 • Yuan Yang, Siheng Xiong, James C Kerce, Faramarz Fekri
Inductive logic reasoning is one of the fundamental tasks on graphs, which seeks to generalize patterns from the data.