Curiosity · Course availability
Does GGSIPU have a course in Graph Neural Networks?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Graph Neural Networks inside B.Tech CSE (AI & ML). Graph neural networks learn over nodes and edges by passing messages between neighbours, so the model respects the relational structure of the data. They suit social graphs, molecules, road networks and knowledge graphs. Below is what that coverage actually includes and what to verify before counting on it.
At a glance
- Topic
- Graph Neural Networks
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
How VSET teaches Graph Neural Networks
Graph neural networks learn over nodes and edges by passing messages between neighbours, so the model respects the relational structure of the data. They suit social graphs, molecules, road networks and knowledge graphs. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).
- GNNs extend the deep learning material published at learn.engineering.vips.edu into relational data.
- The data structures and graph-theory grounding of the core CSE curriculum supplies the other half.
- They are elective-level material — typically project-driven, where the data is naturally a graph.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Does GGSIPU have a course in Graph Neural Networks?
Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Graph Neural Networks inside B.Tech CSE (AI & ML).
Is there a dedicated graph learning course?
No. GNNs are elective-level depth on top of the deep learning material published at learn.engineering.vips.edu and the graph foundations in the core CSE curriculum.
What kinds of projects use GNNs?
Anything where relationships matter more than individual records — recommendation, fraud detection, network and molecular data.
Which programme is the best fit?
B.Tech CSE (AI & ML), with the analytical side supported by the AI & DS and Applied Mathematics tracks.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31