activity
20242026
collaborators

6 papers

cs.AI2026

FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs

Jiaxin Pan, Mojtaba Nayyeri, Osama Mohammed +4

Temporal knowledge graphs are central to many uses of the Semantic Web, but existing completion methods assume the entities, relation names, and timestamps to be reasoned about are…

cs.AI2026

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention

Jiaxin Pan, Osama Mohammed, Daniel Hernández +1

Knowledge graph foundation models such as Ultra and Trix achieve strong inductive transfer by learning relation-graph representations that generalise to unseen entities and relatio…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

MiniMax, :, Aili Chen +219

We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…

cs.AI2025

Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning

Osama Mohammed, Jiaxin Pan, Mojtaba Nayyeri +2

Modeling evolving interactions among entities is critical in many real-world tasks. For example, predicting driver maneuvers in traffic requires tracking how neighboring vehicles a…

cs.AI2025

Towards Foundation Model on Temporal Knowledge Graph Reasoning

Jiaxin Pan, Mojtaba Nayyeri, Osama Mohammed +4

Temporal Knowledge Graphs (TKGs) store temporal facts with quadruple formats (s, p, o, t). Existing Temporal Knowledge Graph Embedding (TKGE) models perform link prediction tasks i…

cs.AI2024

Enriching Ontologies with Disjointness Axioms using Large Language Models

Elias Crum, Antonio De Santis, Manon Ovide +4

Ontologies often lack explicit disjointness declarations between classes, despite their usefulness for sophisticated reasoning and consistency checking in Knowledge Graphs. In this…