edouardpineau / A-simple-baseline-algorithm-for-graph-classificationLinks
Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018
☆28Updated 5 years ago
Alternatives and similar repositories for A-simple-baseline-algorithm-for-graph-classification
Users that are interested in A-simple-baseline-algorithm-for-graph-classification are comparing it to the libraries listed below
Sorting:
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- embedding attributed graphs☆57Updated 3 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆85Updated last year
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆177Updated 2 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- LDP for graph classification☆23Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 2 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆120Updated 2 years ago