[ICLR'26] Taming the Wild Hypothesis: Introducing Controllable Abductive Reasoning in Knowledge Graphs
![[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_hu16494910985212281503.png)
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11 pages
Publication
[WWW'26] Unifying Logic Reasoning in Knowledge Graphs with Diffusion Models
![[WWW'26] Unifying Logic Reasoning in Knowledge Graphs with Diffusion Models](/p/www26-unifying-logic-reasoning-in-knowledge-graphs-with-diffusion-models/dark_hu13192193941403510688.png)
Token Efficient RAG
[ICLR'26] AtlasKV: Teaching a Language Model a Billion Facts, Without Breaking the Memory Bank
![[ICLR'26] AtlasKV: Teaching a Language Model a Billion Facts, Without Breaking the Memory Bank](/p/iclr26-atlaskv-teaching-a-language-model-a-billion-facts-without-breaking-the-memory-bank/framework_hu15432790057858931294.png)
From Good to Useful: Introducing AutoGraph-R1, the AI That Learns to Build Better Knowledge Graphs
Introducing FedNGDB
AutoSchemaKG Paper and Code Release
Survey in AI-Driven Scientific Discovery
