A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects

Time-R1: Framework and resources for endowing LLMs with comprehensive temporal reasoning (understanding, prediction, creative generation) using a novel three-stage RL curriculum. Includes the Time-Bench dataset and pre-trained models.

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

The official repo of TimeLlama, an instruction-finetuned Llama2 series that improve complex temporal reasoning ability.

Qualitative Reasoning: Spatio-Temporal Reasoning using Relation Algebras and Constraint Networks. Documentation is under construction at ReadTheDocs. See link below.

[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs

The repository for ACL 2024 paper "TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models"

Code and data for "Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?" (ACL 2024)

TRAM: Benchmarking Temporal Reasoning for Large Language Models (Findings of ACL 2024)

Code and data for "Timo: Towards Better Temporal Reasoning for Language Models" (COLM 2024)

[EMNLP 2023] Question Answering as Programming for Solving Time-Sensitive Questions

[ACL 2025] Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models

LfD framework for learning the temporal dynamics of a social interaction

Modular network control plane verification tool, using temporal invariants to define modular interfaces

Algebras for qualitative reasoning about time, space, etc.

🔥 Measuring Massive Multimodal Understanding and Reasoning in Open Space

🌐 Enhance embodied AI with continuous vision-language understanding for dynamic environment adaptation and achieve accurate multi-step temporal reasoning.

[ECCV 2018] Temporal Relational Reasoning in Videos

Temporal reasoning using the Viterbi Algorithm.

Comprehensive literature review on hybrid AI systems combining temporal knowledge graphs, clinical constraints, and generative models for emergency department decision support