Search Results for author: Siheng Xiong

Found 5 papers, 4 papers with code

TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs

1 code implementation19 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.

Knowledge Graphs

Large Language Models Can Learn Temporal Reasoning

1 code implementation12 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).

Data Augmentation Text Generation

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

1 code implementation25 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.

Knowledge Graphs Logical Reasoning

Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation

1 code implementation24 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.

Formal Logic Sentence +1

Temporal Inductive Logic Reasoning

no code implementations9 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.

Inductive logic programming Knowledge Graphs

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