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Graph Neural Networks meet Large Language Models

n1o.github.io · published 16 December 2024

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https://arxiv.org/abs/2309.15427

arxiv.org

Awesome T5 Read at the source ↗

n1o.github.io

https://arxiv.org/abs/2311.12399

arxiv.org

https://github.com/yhLeeee/Awesome-LLMs-in-Graph-tasks

github.com

https://codebreakers.re/articles/llm-and-security/galla-graph-aligned-llm

codebreakers.re

https://arxiv.org/abs/2205.10803

arxiv.org

https://www.semanticscholar.org/paper/S2GAE%3A-Self-Supervised-Graph-Autoencoders-are-with-Tan-Liu/355cf4ef8c666898ceed76ea7950c3df176900fc

semanticscholar.org

https://arxiv.org/abs/2406.05391

arxiv.org

https://arxiv.org/pdf/2309.02848

arxiv.org

https://www.semanticscholar.org/paper/Best-of-Both-Worlds%3A-Advantages-of-Hybrid-Graph-Behrouz-Parviz/876d88fbe0563544ce8761026b2333db71668c89

semanticscholar.org

https://en.wikipedia.org/wiki/Graph_Modelling_Language

en.wikipedia.org

https://codebreakers.re/articles/llm-and-security/bert-codebert-and-graphcodebert

codebreakers.re

https://www.semanticscholar.org/paper/CodeSAM%3A-Source-Code-Representation-Learning-by-Mathai-Sedamaki/1bff70f012e7f6a3fc868e1b12256dc44f79c7f3

semanticscholar.org

https://arxiv.org/abs/2305.14321

arxiv.org

https://arxiv.org/abs/2105.02605

arxiv.org

https://arxiv.org/abs/2304.10668

arxiv.org

https://arxiv.org/abs/2310.12580

arxiv.org

https://arxiv.org/abs/2405.19119

arxiv.org

https://logconference.org/

logconference.org