nd7141 / AWELinks
Compute graph embeddings via Anonymous Walk Embeddings
☆83Updated 7 years ago
Alternatives and similar repositories for AWE
Users that are interested in AWE are comparing it to the libraries listed below
Sorting:
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated 2 years ago
- ☆173Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 4 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆56Updated 6 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 8 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 7 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆276Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆369Updated 2 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- embedding attributed graphs☆57Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 9 months ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Updated 2 years ago
- Hyperbolic Graph Neural Networks☆240Updated 5 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago