HipGraph / MarkovGNNLinks
PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
☆13Updated 3 years ago
Alternatives and similar repositories for MarkovGNN
Users that are interested in MarkovGNN are comparing it to the libraries listed below
Sorting:
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆43Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 5 years ago
- MagNet graph convolutional network☆41Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- ☆36Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆32Updated 2 years ago
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆17Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- ☆45Updated 2 years ago
- ☆24Updated last year
- ☆21Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- ☆38Updated 2 years ago
- This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…☆35Updated 2 years ago
- A list for GNNs and related works.☆101Updated 4 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆22Updated last year
- ☆18Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- ☆77Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆50Updated 8 months ago