Roadmap

Reading list

• Neural Ordinary Differential Equations

  • Note

  • Code

  • tags: nips-2018, best-paper, numerical-methods, continuous-depth-model, normalizing-flows, time-series, generative-models

• Representation Learning on Graphs: Methods and Applications

  • Note

  • Slides

  • tags: review, graph representation learning

• Recurrent Relational Networks

  • Note

  • Website

  • tags: nips-2018, graph-networks, relational-reasoning

• Inductive Representation Learning on Large Graphs

  • Note

  • tags: graph-networks, nips-2017

• Hierarchical Graph Representation Learning with Differentiable Pooling

  • Note

  • Code

  • tags: nips-2018

• Deep Graph Infomax

  • Note

  • Code

  • tags: graph-networks, unsupervised-learning

• Neural GPUs Learn Algorithms

  • Note

  • Code

  • tags: neural-turing-machine

• PDE-Net: Learning PDEs from Data

  • Note

  • Code

  • tags: numerical-methods

• Embedding Logical Queries on Knowledge Graphs

  • Note

  • tags: first-order-logic, graph-networks

• Relational Deep Reinforcement Learning

  • Note

  • tags: reinforcement-learning, graph-networks

• PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems

  • Note

  • tags: graph-networks, kdd-2018

• FastGCN: FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

  • Note

  • tags: graph-networks, iclr-2018

• Graph U-Net

  • Note

  • tags: graph-networks, sparsify

• Towards Sparse Hierarchical Graph Classifiers

  • Note

  • tags: graph-networks, sparsify

• Adaptive Sampling Towards Fast Graph Representation Learning

  • Note

  • tags: GCN, sampling, nips-2018

• Graph Attention Networks

  • Note

  • tags: GCN, attention, iclr-2018

• How Powerful are Graph Neural Networks?

  • Note

  • tags: GNN, graph classification, iclr-2019, oral

• Pitfalls of Graph Neural Network Evaluation

  • Note

  • Code

  • tags: GNN, evaluation, node classification, NeuralPS-2018, workshop

• Spectral Networks and Deep Locally Connected Networks on Graphs

  • Note

  • tags: GNN, spectral

• Deep Convolutional Networks on Graph-Structured Data

  • Note

  • tags: GNN, spectral, nips-2015

• [_] Causal Inference blogs

  • ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus

  • The Blessings of Multiple Causes: Causal Inference when you Can't Measure Confounders

  • Causal Inference 2: Illustrating Interventions via a Toy Example