41 тысяч подписчиков
257 видео
Topology-aware Graph Neural Network | Distinguished* MSc | **Oral Presentation** | GRAIL MICCAI 2024
Topology-Preserving GNNs for Brain Graph Super-Resolution | Distinguished* MSc | PRIME MICCAI 2024
Generative Hypergraph Neural Networks for Data Fusion | **Oral Presentation** | PRIME-MICCAI 2024
Diversity-Based Hyperedge Sampling in GNN Learning | MICCAI MLMI 2024
A Universal Federation of a Mixture of Highly Heterogeneous Learning Tasks | MICCAI MLMI 2024
[RISE-FIFAI Summer School 2024] Federated Learning Lab Session
[Deep Graph Learning] 6.7 Evaluation measures for generative GNNs
[Deep Graph Learning] 6.6 Generative Graph U-Net
[Deep Graph Learning] 6.5 Supervised conditional generation on graphs
[Deep Graph Learning] 6.4 Unconditional one-shot graph generation
[Deep Graph Learning] 6.3 Unconditional sequential graph generation
[Deep Graph Learning] 6.2 Self-supervised/unsupervised generative GNNs
[Intuitive Deep Learning] 3.3 Backpropagation: forward and reverse differentiation modes
[Deep Learning Matrix Reloaded] Supervised learning expressed into matrices (part 1)
How Batuhan Derinbay ranked 1st at Istanbul Technical University | Computer Engineering
X-Node: Self-Explanation is All We Need | **Oral Presentation** | GRAIL MICCAI 2025
Machine Learning Blink 10.2 (Feature selection: wrapper and filter methods)
Machine Learning Blink 9.4 (multi-class classification using linear classifiers)
Machine Learning Blink 9.2 (Hands-on step-by-step Support Vector Machine example)
Machine Learning Blink 4.3 (finding the minima of multivariate loss functions)
Machine Learning Blink 2.7 (semi-supervised vs transductive learning)
Graph Theory Blink 1.4 (Graph types: simple, complete, subgraph, hypergraph, annotated graphs)
Brain HyperConnectome AutoEncoder For Brain State Classification (Banka et al., PRIME 2020)
Machine Learning 13.1 (Introduction to Ensemble Learning)
