How LeCun's vision for world models and knowledge graph reasoning converge on the same architecture - and what that means for both fields.
A short overview of my Home Depot talk on building knowledge graphs, from rich semantics to autonomous construction and task-aware optimization.
AutoSchemaKG, AutoGraph R1, and multimodal abductive reasoning—three angles on building and using knowledge for language models.
Talk on how we move from symbolic knowledge graphs to neural graph databases, and what this means for data, algorithms, and real-world applications.
🚀 New Paper Alert! Excited to introduce DARK: Unifying Deductive & Abductive Reasoning in Knowledge Graphs with Masked Diffusion Models! 🧠🔗
Making High-Performance Graph RAG Affordable and Scalable
![Featured image of post [ICLR'26] Taming the Wild Hypothesis: Introducing Controllable Abductive Reasoning in Knowledge Graphs](/p/iclr26-taming-the-wild-hypothesis-introducing-controllable-abductive-reasoning-in-knowledge-graphs/ctrlhgen_hu25833414136091988.png)
![Featured image of post [WWW'26] Unifying Logic Reasoning in Knowledge Graphs with Diffusion Models](/p/www26-unifying-logic-reasoning-in-knowledge-graphs-with-diffusion-models/dark_hu8635004305972634017.png)
