Graph Neural Network

Links

Know-how

• Learning on Graphs and Geometry Reading Group

Video

• Stanford CS224W: Machine Learning with Graphs (Jure Leskovec, playlist)
• Stanford Graph Learning Workshop 2022 (7:57 h) - individual videos with slides
• Petar Veličković
  • Everything is Connected: Deep Learning on Graphs
  • Theoretical Foundations of Graph Neural Networks
• Graph Neural Networks
• Hussain Kara Fallah
• Machine Learning TV - not only but also GNN topics
• Hannes Stärk
• Antonio Longa - PyG tutorials

Tools & Libraries

• PyG (PyTorch Geometric) - GitHub
  • currentness: well maintained
  • technology: PyTorch
• GraphGym - uses PyG internaly
• DGL (Deep Graph Library) - GitHub
  • currentness: well maintained
  • technology: PyTorch, TensorFlow or Apache MXNet
• Spektral - GitHub
  • currentness: maintained
  • technology: Keras & TensorFlow 2
• Graph Nets - GitHub
  • currentness: outdated, last commit Dec. 2020
  • technology: Tensorflow
  • arXiv paper
• Jraph - GitHub
  • currentness: well maintained
  • technology: JAX

Datasets

• Open Graph Benchmark (OGB)
• PyG (PyTorch Geometric) Datasets - Dataset Cheatsheet
• TUDatasets
• Benchmarking Graph Neural Networks - GitHub

Recommender Systems at Spotify

• Speaker: Andreas Damianou
• Direct Link: Stanford Graph Learning Workshop 2022

Papers mentioned

• mentioned at 2:43:40
  • Grale: Designing Networks for Graph Learning (2020)
• mentioned at 2:57:47
  • Ranking systems for RecSys
    • Wide & Deep Learning for Recommender Systems (2016)
    • DCN V2: Improved Deep & Cross Network […] (2020)
    • Semi-Supervised Classification with Graph Convolutional Networks (2016)
    • Deep & Cross Network for Ad Click Predictions (2017)
  • GNN architectures
    • DeepWalk: Online Learning of Social Representations (2014)
    • node2vec: Scalable Feature Learning for Networks (2016)
    • Inductive Representation Learning on Large Graphs (2017)
  • Graph-based appoaches for RecSys
    • A Survey on Knowledge Graph-Based Recommender Systems (2020)
    • Graph Learning based Recommender Systems: A Review (2021)
    • Graph Convolutional Neural Networks for Web-Scale Recommender Systems (2018)
    • Graph Convolutional Matrix Completion (2017)
    • Graph Neural Networks for Social Recommendation (2019)
    • Trajectory Based Podcast Recommendation (2020)
    • RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation (2019)
    • LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (2020)
    • KDD 2022 tutorial by El-Kishky et al. - slides