deezer / gravity_graph_autoencodersLinks
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
☆46Updated last year
Alternatives and similar repositories for gravity_graph_autoencoders
Users that are interested in gravity_graph_autoencoders are comparing it to the libraries listed below
Sorting:
- Representation learning on dynamic graphs using self-attention networks☆301Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated 2 years ago
- ☆51Updated 3 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆161Updated last year
- Implementation of the CTDNE algorithm.☆20Updated 6 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- HDGI code☆63Updated 5 years ago
- ☆75Updated 3 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Code for Arxiv 2018 Paper "HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding"☆32Updated 6 years ago
- ☆53Updated 6 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆141Updated 6 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- ☆354Updated 5 years ago
- tNodeEmbed☆79Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆47Updated 6 years ago
- Datasets-for-Heterogeneous-Graph☆135Updated 6 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆209Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago