Data Skeptic GraphText
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Oct 31, 2023 Jianan Zhao, a computer science student, joins to discuss using graphs with LLMs efficiently. They explore graph inductive bias, graph machine learning, limitations of natural language models for graphs, graph text as a preprocessing step, information loss in translation process, and comparison with graph neural networks.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 3min
Graph Machine Learning and Natural Language Processing
02:55 • 2min
Graph Foundation Models: Applications and Limitations
05:24 • 4min
Exploring the Viability of Merging Graph Aspects with Language Models
09:44 • 3min
Translation Process and Information Loss
12:31 • 10min
Comparison with Graph Neural Networks
22:06 • 10min