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Stanford CS224W Graph ML Projects
A collection of Graph Machine Learning blog posts created by Stanford students as the capstone project of CS224W.
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Here We Go! Predicting Transfer Market Valuations of Premier League Footballers
Here We Go! Predicting Transfer Market Valuations of Premier League Footballers
By George Robert Dimopoulos and Esau Veliz as part of the Stanford CS 224W final project.
Esau Veliz
Feb 19
Inferring Ice Shelf Viscosity with GNNs
Inferring Ice Shelf Viscosity with GNNs
By Sinan He, Yanlan Hu, Xingyi Zhang as part of the Stanford CS224W course project.
Yanlan Hu
Jan 3
Neural Networks and Model Explainability for Graphs
Neural Networks and Model Explainability for Graphs
Authors: Ethan Bogle and Hollie Zheng
Ethan Bogle
Jan 3
Tracing Historical Political Leaning in Newspapers with GNNs
Tracing Historical Political Leaning in Newspapers with GNNs
Amy Guan, Poonam Sahoo, Karsen Wahal
Amy Guan
Jan 3
Graph Augmentations using PyG
Graph Augmentations using PyG
Jerry Chan, John So, Jihee Suh
John So
Jan 3
Graph Neural Network-based Simulator: predicting particulate and fluid systems
Graph Neural Network-based Simulator: predicting particulate and fluid systems
By Yuke Wu, Yiwen Zhang and Daniel Zhou for CS 224W course project Fall 2024.
Yiwen Zhang
Jan 3
Stock Market Forecasting with Differential Graph Transformer
Stock Market Forecasting with Differential Graph Transformer
Stanford CS 224W (Machine Learning with Graphs) course project by Xiang Li and Farzad Pourbabaee
Kevin Xiang Li
Jan 3
Graph Neural Network Based Prediction of Physician Information…
Graph Neural Network Based Prediction of Physician Information…
GNN-Based Prediction of Physician Information Preferences
Avinash Rajput
Jan 3
[CS 224W] Project Milestone — Yelp Recommendations with GNNs
[CS 224W] Project Milestone — Yelp Recommendations with GNNs
By Shiny Weng and Lillian Weng
Shiny Weng
Jan 3
Graphing the Future: How GNNs Are Unlocking Urban Resilience
Graphing the Future: How GNNs Are Unlocking Urban Resilience
What if we could map the hidden networks of our cities to solve some of the most pressing challenges of urban life? That’s exactly what I…
Ajay Rao Goparaj
Jan 3
Traffic Signal Control Using Decentralized MARL via Graph Modeling
Traffic Signal Control Using Decentralized MARL via Graph Modeling
Kevin Chen, Kelvin Christian, Haoyu Wang
KC10101
Jan 3
Revolutionizing Weather Forecasting with Graph Neural Networks
Revolutionizing Weather Forecasting with Graph Neural Networks
Ryne Zen-Zhi Reger, Alan Chan, Ayako Kawano as part of the Stanford CS224W course project.
climatecast
Jan 3
Predicting Water Quality in Unmonitored Networks with RGCNs
Predicting Water Quality in Unmonitored Networks with RGCNs
By Tim Chen, Zhenyu Zhang, and Shuojia Fu for the Stanford CS224W course project
Tianyi Chen
Jan 3
Link Prediction on MIND Dataset with PyG
Link Prediction on MIND Dataset with PyG
By Noah Kuo, Adrian Molofsky, and Minh Vu
Minh Vu
Jan 3
Using Spatiotemporal Graph Neural Networks to Decode Caffeine’s Effect on Brain Connectivity
Using Spatiotemporal Graph Neural Networks to Decode Caffeine’s Effect on Brain Connectivity
Ever wondered how your morning coffee actually changes your brain’s activity patterns? As researchers and caffeine lovers studying brain…
Gustavo
Jan 3
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