Materials for Graph Models and Graph Networks
-
(CMU)Probabilistic Graphical Models
- Slides are in course homepage
- [Videos]
- GRAPH CONVOLUTIONAL NETWORKS A good blog to introduce graph covolutional network
-
Relational inductive biases, deep learning, and graph networks(recommend to read first)
-
Semi-Supervised Classification with Graph Convolutional Networks(ICLR 2017)
-
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering (NIPS 2016)
Which works with a spectral representations of the graph and have been successfully applied in the context of node classification.
Which define convolutions directly on the graph, operating on groups of spatially close neighbors.