ramikrispin, 4 months ago (2/3) The course includes 47 lectures, and it covers topics such as: ✅ ML applications for graph ✅ Graph neural networks (GNN) ✅ Knowledge graph completion ✅ Recommendation with GNN ✅ Geometric deep learning ✅ Link prediction and causality #machinelearning #deeplearning #datascience #neuralnetworks
(2/3) The course includes 47 lectures, and it covers topics such as: ✅ ML applications for graph ✅ Graph neural networks (GNN) ✅ Knowledge graph completion ✅ Recommendation with GNN ✅ Geometric deep learning ✅ Link prediction and causality
#machinelearning #deeplearning #datascience #neuralnetworks