Antonio Longa
Audience and activity
Subscribers3.6K
Views per video1.6Kmedian of the last 30
Views per subscriber0.46how many actually watch
Comments per video2median
Uploads per month0.3
Last upload4mo ago2026-07-05
Total views355K
Total videos55
Long-form / Shorts90% / 0%
Counts come from the YouTube Data API and are refreshed regularly; medians are computed from the channel's last 30 videos.
What Antonio Longa makes
Topics graph neural networks, machine learning, temporal graphs, PyTorch, artificial intelligence
Researcher at UiT working on Graph Neural Networks and temporal graphs. This channel shares experiments, ideas, and insights on graph machine learning and real-world applications.
Features other people
Recent videos
| Title | Published | Views | Length |
|---|---|---|---|
| Sparse polynomial approximation for surrogate modeling on networks | NMGML Seminar (G.A. D'Inverno) | 2026-07-05 | 66 | 65 min |
| Dynamics of Deep Learning | NMGML Seminar (Lorenzo Livi) | 2026-05-08 | 90 | 49 min |
| Geometry of Neural Networks | NMGML Seminar (Marta Panizzut) | 2026-04-24 | 135 | 60 min |
| Graph Neural Networks Explained | From MLPs to GNNs | NGML Seminar | 2026-04-13 | 239 | 57 min |
| A Benchmark Dataset for Graph Regression with Homogeneous and Multi‑Relational Variants | 2026-03-13 | 79 | 14 min |
| Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities | 2023-08-18 | 842 | 6 min |
| Talk at Cambridge University - Neighbourhood matching creates realistic surrogate temporal networks | 2022-06-20 | 517 | 37 min |
| Complex Networks 2021 - Madrid - POSTER session - ETMM: Egocentric temporal motifs miner | 2022-01-08 | 400 | 2 min |
| Memory-Efficient aggregations [Advanced PyTorch Geometric Tutorial 6] | 2021-12-18 | 1.6K | 36 min |
| Advanced mini-batching [Advanced PyTorch Geometric Tutorial 5] | 2021-12-10 | 5.4K | 28 min |
Contact Antonio Longa
Email none found in the channel description
YouTube youtube.com/@antoniolonga94
Contacts come only from what the channel publishes — its description and linked website.
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