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A Knowledge Graph Foundation Model for Universal In-Context Reasoning, NeurIPS 2024
The implementation project with Pytorch for the paper Can LLMs be Good Graph Judger for Knowledge Graph Construction?
Clinical Histopathology Imaging Evaluation Foundation Model
Collection of training data management explorations for large language models
Diachronic Embedding for Temporal Knowledge Graph Completion
IMU-MachineLearningSXD / TeAST
Forked from dellixx/TeASTACL 2023 TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970
NAACL2021-Temporal Knowledge Graph Completion using a Linear TemporalRegularizer and Multivector Embeddings
Large language model and dataset for natural language to first-order logic translation
LogicBench is a natural language question-answering dataset consisting of 25 different reasoning patterns spanning over propositional, first-order, and non-monotonic logics.
[ACL 24 main] Large Language Models Can Learn Temporal Reasoning
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
A Library for Differentiable Logic Gate Networks
This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning …
The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rota…
Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion, ISWC 2024
Official implementation of "TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy