Wasserstein Embedding For Graph Learning
[paper review] : WEGL, ICLR 2021
Posts
2021
Invariant and Equivariant Graph Networks
[paper review] : Invariant and Equivariant Graph Networks, ICLR 2019
Continuous Graph Neural Networks
[paper review] CGNN, ICML 2020
Composition-based Multi-Relational Graph Convolutional Networks
[paper review] CompGCN, ICLR 2020
Graph Attention Networks
[paper review] : GAT, ICLR 2018
How Powerful are Graph Neural Networks?
[paper review] GIN, ICLR 2019
Semi-Supervised Classification with Graph Convolutional Networks
[paper review] : GCN, ICLR 2017
Weisfeiler-Lehman Algorithm
Weisfeiler-Lehman Algorithm
Polynomial Approximation Using Chebyshev Expansion
Graph Convolutional Network 이해하기 : (5) Polynomial approximation using Chebyshev expansion
Localized Polynomial Filter
Graph Convolutional Network 이해하기 : (4) Localized Polynomial Filter
Graph Convolution and Spectral Filtering
Graph Convolutional Network 이해하기 : (3) Graph convolution 과 spectral filtering
Graph Fourier Transform
Graph Convolutional Network 이해하기 : (2) Graph Fourier transform
2020
Graph Laplacian
Graph Convolutional Network 이해하기 : (1) Graph Laplacian