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GNN-SpaceTimeGraphs
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasetsdigital-fuesim-manv
A German simulation system for training emergency medical services leadership personnel on how to manage Mass Casualty Incidents.ask-your-repository-api
This service provides an api to store artefacts with their related meta-data and tags and performs machine learning on themdps.training_shared_files
ProbabilisticModels_WiSe22_23
Projects on Discrete Time Markov Chains, Continuous Time Markov Chains, Hidden Markov Models, Markov Decision ProcessesRL_SelfSupervised_GameEngine
Exploring Self-supervised Self-Adaption Mechanisms Based on Continuous Reinforcement Learning with Application to Game Systems"GNN-EntityLinking
Exploration of Graph Neural Network techniques to represent, predict, and intervene on Entity Linking tasks.GNN-Course-2020
Lecture MaterialsGNN-Effectants
Investigate different methods for link prediction and their effectiveness for the polypharmacy problem.ask-your-repository-web
React Web Application for visualising and managing image data. Main user interface of the Ask You Repository project.sct-teaching-materials
Spatio-Temporal-Graphs
Projects on Spatio-Temporal GraphsGNN-Course-2021
Materials of the Graph Neural Networks course taught in Winter Semester 2021 at the Hasso-Plattner Institute University of PotsdamQuantumProgramming
Exercises, Tasks, and Projects for the Course on Quantum ProgrammingGNN-for-Knowledge-Graphs
Graph Neural Networks for Knowledge-Graph SystesmSafe-RL-4-SAS
GNN-CommunityInteraction
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