bluer555 / KernelGCN
Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
☆34Updated 5 years ago
Alternatives and similar repositories for KernelGCN:
Users that are interested in KernelGCN are comparing it to the libraries listed below
- ☆35Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- ☆20Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- ☆27Updated 3 years ago
- ☆30Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- ☆45Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 9 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Adaptive Propagation Graph Convolutional Network☆23Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago