amoliu / CayleyNetLinks
Graph Convolutional Neural Networks with Complex Rational Spectral Filters
☆26Updated 6 years ago
Alternatives and similar repositories for CayleyNet
Users that are interested in CayleyNet are comparing it to the libraries listed below
Sorting:
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆135Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- ☆62Updated 4 years ago
- ☆32Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- ☆29Updated 4 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- ☆57Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 11 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated last week
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆35Updated 3 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago