GNNs meet LLMs

1:01:30

Physics-inspired graph neural networks, Michael Bronstein | LMS/IMA Joint Meeting 2023

0:51:59

Paper Explained | LLM boosts GNN Accuracy via Knowledge Distillation

0:34:24

Choosing the right LLM for your AI project | Ep. 124

0:19:01

Machine Learning on Large-Scale Graphs

0:00:34

Robots testing the Bulletproof #cybertruck

0:00:16

Brie Larson is Exited about John Cena

0:49:09

A Literature Review on Graph Neural Networks

0:02:08

Tony stark 'when did you became master in thermo nuclear astro physics' The Avengers (2012)

0:54:57

[hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight

0:32:25

Smart LLM Routing & Novel Multi-Agent Framework

0:50:03

DSW 2024 | Ignite Track | The State of Generative AI - Where Are We Heading | 20240918

1:12:20

Theoretical Foundations of Graph Neural Networks

0:40:50

Paper Explained | Graph Processing using LLMs

0:01:34

Mythbusters Demo GPU versus CPU

0:33:35

Xiang Wang @ NSSDM. Explainability of Graph Neural Networks.

1:42:28

Do you think that ChatGPT can reason?

0:00:21

I was about to kill an NPC but then he said This - Red Dead Redemption 2

0:06:38

Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024]

0:00:23

She Gets A SURPRISE! 😱

0:53:51

Capturing computation with algorithmic alignment, Petar Veličković | LMS/IMA Joint Meeting 2023

1:15:54

Learning Discrete Structures for Graph Neural Networks | AISC

2:02:54

Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma

0:59:48

The Art of the Possible: Putting LLMs to Work for You