6/n: We release:
 - The dataset for KG-based inductive reasoning: huggingface.co/Tassy24
- Paper: arxiv.org/abs/2502.13344
- Repo: github.com/rsinghlab/K-Pa….

Big thanks to all my incredible collaborators- this wouldn’t be possible without your brilliance!

5/n: This open doors in biomedical AI:
• Structured KG reasoning + LLMs' generative power = transparent, scientific discovery.
• Imagine helping scientists understand why a treatment works, not just what!

4/n: Why this matters:
• Interpretability baked in - paths double as explanations.
•Efficiency - huge KG reductions help scale to real-world biomedical workloads.
•Generalization - works in unseen (inductive) settings.

3/n: 🔥 Results across model families (LLMs & GNNs):
• Tx-Gemma 27B: +19.8 F1 on interaction severity
• Llama 70B: +8.5 F1 on similar tasks.
• EmerGNN: trains on 90% smaller KG with no loss in accuracy
• That cross-architecture gain is rarely seen and hard to ignore.

2/n: K-Paths is not just a retrieval method.
It’s a pipeline that combines:
• Heuristics path finding (Yen’s algorithm)
• Diversity-aware selection
• Graph pruning
• Natural language transformation to aid reasoning for LLMs.
•GNN/LLM integration

1/n: Most KG methods for drug discovery tasks rely on GNNs or focus on narrow QA tasks.

K-Paths is model-agnostic and reframes KG use for reasoning & discovery, especially in inductive settings (e.g. emerging drugs/diseases).

Amazing! Congratulations!!!

Thank you for responding. I have not done UX work but my research focuses on human-centered AI, exploring how AI can be adapted to better serve human needs across various applications. I’m happy to share more details of my work in a less constrained setting. Here is my resume: tassabdul.github.io

Hi Dr @mihaelav.bsky.social, I am super interested. My research lies at the intersection of NLP and IR aiming to derive factual insights from extensive literature or knowledge graphs to support accurate, reliable, and evidence-based decision-making in various domains. Thanks your consideration.

I’d like to join. Thanks!

Hi Dr @boghuma.bsky.social , I am computer science researcher and I would love to be included in the starter pack. Thanks.