GN
Graph Neural Networks
Indexing
Sifting through hundreds of thousands of hours of indexed videos
Graph Neural Networks
Sifting through hundreds of thousands of hours of indexed videos
Graph Neural Networks
5
Mentions
126.1K
Views
“Discussed as a key architecture for solving combinatorial optimization problems like online matching.”
“The specific AI architecture credited with the breakthrough in learning chemical structures.”
![#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]](https://img.youtube.com/vi/1lkdWduuN14/mqdefault.jpg)
“The broader field of deep learning models that operate on graph-structured data.”
![#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]](https://img.youtube.com/vi/jAGIuobLp60/mqdefault.jpg)
“The primary technical subject of the interview.”
“Discussed as a promising avenue for relational learning and semantics.”
Arcmira media summary
Arcmira tracks where Graph Neural Networks is discussed across indexed YouTube videos, transcripts, channels, and related entities.
Discussed as a key architecture for solving combinatorial optimization problems like online matching.
The specific AI architecture credited with the breakthrough in learning chemical structures.
The broader field of deep learning models that operate on graph-structured data.
The primary technical subject of the interview.
Discussed as a promising avenue for relational learning and semantics.
Arcmira tracks 5 indexed media appearances or mentions for Graph Neural Networks, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "TILOS Seminar: Machine learning for discrete optimization: Theoretical foundations" with transcript-derived context and links when available.
Graph Neural Networks is connected to Amazon, Meta, MIT in Arcmira's media graph.