cshjin / gnn_in_neurips_2019
A comprehensive collection of GNN works in NeurIPS 2019.
☆21Updated 5 years ago
Alternatives and similar repositories for gnn_in_neurips_2019:
Users that are interested in gnn_in_neurips_2019 are comparing it to the libraries listed below
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 4 years ago
- ☆35Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- ☆45Updated 4 years ago
- Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”☆15Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- ☆26Updated 6 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 6 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library☆9Updated 4 years ago
- ☆30Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Weekly reading group on Graphs at Mila☆31Updated 6 years ago