HipGraph / MarkovGNNLinks
PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
☆13Updated 4 years ago
Alternatives and similar repositories for MarkovGNN
Users that are interested in MarkovGNN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆49Updated 2 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 5 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆15Updated 3 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆45Updated 5 years ago
- ☆24Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆32Updated 2 years ago
- https://arxiv.org/abs/2005.06935☆12Updated 3 years ago
- ☆36Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Updated 4 years ago
- ☆30Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 10 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆62Updated 4 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆42Updated 2 years ago
- ☆27Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 7 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Updated 2 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆39Updated 3 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last month
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 4 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 3 years ago
- ☆77Updated 4 years ago