Schedule of the Seminar:

Introduction to Graph Neural Networks (Fady Yacoub, October 13, 2025)

Graph Neural Networks for Node Classification (Jan Andrzejewski, October 13, 2025)

Graph Neural Networks: Scalability (Adrian Walczak, October 20, 2025)

Interpretability in Graph Neural Networks (Kacper Chmielewski, November 3, 2025)

Graph Neural Networks: Link Prediction (Igor Jakus, October 27, 2025)

Graph Neural Networks: Graph Classification (Wiktor Małysa, November 3, 2025)

Graph Neural Networks: Graph Matching (Vikrant Rajput, November 17, 2025)

Graph Neural Networks in Modern Recommender Systems (Jose Aguilar Olmo, November 24, 2025)

Spatial Graph Autoencoders (Bartosz Brzoza, November 24, 2025)

Semi-Supervised Classification with Graph Convolutional Networks (Vikrant Rajput, December 1, 2025)

A Survey of Graph Neural Networks for Recommender Systems (Fady Yacoub, December 1, 2025)

Graph U-Nets (Igor Jakus, December 8, 2025)

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (Kacper Chmielewski, December 15, 2025

2nd Round of Papers (some possible topics):

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision [PDF]

Graph Random Neural Network for Semi-Supervised Learning on Graphs [PDF]

E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification [PDF]

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection (selected topics) [PDF]

Gated Graph Sequence Neural Networks [PDF]

Link Prediction Based on Graph Neural Networks [PDF]

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting [PDF]

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting [PDF]

Predictive temporal embedding of dynamic graphs [PDF]