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(Day 156) Final XCS224W - ML with Graphs homework

June 5, 2024

Hello :) Today is Day 156!

A quick summary of today:

  • finished and submitted the last assignment of the Stanford XCS224W: ML with graphs course
  • read a few more papers about spatial-temporal graph neural networks
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(Day 155) Reading more about 'historic' (used as baseline) models for spatio-temporal predictions using graphs

June 4, 2024

Hello :) Today is Day 155!

A quick summary of today’s papers:

  • Real-time Prediction of Taxi Demand Using Recurrent Neural Networks
  • Graph WaveNet for Deep Spatial-Temporal Graph Modeling
  • GMAN: A Graph Multi-Attention Network for Traffic Prediction
  • DNN-Based Prediction Model for Spatio-Temporal Data
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(Day 154) Diving deeper into Graph Neural Networks used in taxi demand prediction

June 3, 2024

Hello :) Today is Day 154!

A quick summary of today:

  • STGCN - Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
  • CACRNN - Predicting taxi demands via an attention-based convolutional recurrent neural network
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(Day 153) First steps into orchestration and ML pipelines (module 3 from MLOps zoomcamp)

June 2, 2024

Hello :) Today is Day 153!

A quick summary of today:

  • started Module 3: Orchestration and ML pipelines from the MLOps zoomcamp
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(Day 152) SVR & STTCM - Two architectures for taxi demand prediction

June 1, 2024

Hello :) Today is Day 152!

A quick summary of today (papers read):

  • Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree
  • Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods
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(Day 151) Reading more about taxi OD matrix prediction architectures + more Scottish dataset audio included

May 31, 2024

Hello :) Today is Day 151!

A quick summary of today:

  • my collaborator recorder more audio and the Scottish (Glaswegian) dataset is growing
  • read more papers related to OD (origin-destination) matrix prediction for taxis
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