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  • currentness: outdated, last commit Dec. 2020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