HipGraph / MarkovGNN
PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
☆15Updated 3 years ago
Alternatives and similar repositories for MarkovGNN:
Users that are interested in MarkovGNN are comparing it to the libraries listed below
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- ☆20Updated 4 years ago
- ☆31Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- ☆27Updated 3 months ago
- Papers about hypergraph, their applications, and even similar ideas.☆18Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆17Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- ☆27Updated 3 years ago
- ☆35Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆28Updated 2 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated 9 months ago
- MagNet graph convolutional network☆37Updated last year
- Gradient gating (ICLR 2023)☆53Updated last year
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- ☆29Updated 3 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated 2 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago
- ☆44Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆38Updated last year
- ☆13Updated 4 months ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- ☆76Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 10 months ago