Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

We talked about:

• Anahita's Background
• Mechanical Engineering and Applied Mechanics
• Finite Element Analysis vs. Machine Learning
• Optimization and Semantic Reporting
• Application of Knowledge Graphs in Research
• Graphs vs Tabular Data
• Computational graphs
• Graph Data Science and Graph Machine Learning
• Combining Knowledge Graphs and Large Language Models (LLMs)
• Practical Applications and Projects
• Challenges and Learnings
• Anahita’s Recommendations

Links:

• GitHub repo: https://github.com/antahiap/ADPT-LRN-PHYS/tree/main

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