simondelarue / dynGNNLinks
Representation and learning framework for dynamic graphs using Graph Neural Networks.
☆12Updated 3 years ago
Alternatives and similar repositories for dynGNN
Users that are interested in dynGNN are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆31Updated 9 months ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆75Updated 2 years ago
- ☆18Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- ☆28Updated 3 years ago
- ☆12Updated 3 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 6 months ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated 2 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆70Updated 4 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)☆26Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- ☆31Updated last year
- ☆20Updated 4 years ago
- Software for "Configuration Models of Random Hypergraphs"☆28Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- souece code of e-lstm-d☆21Updated 4 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Data for the paper "Simplicial closure and higher-order link prediction"☆21Updated 6 years ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Updated 2 years ago