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:
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆51Updated 3 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- HDGI code☆62Updated 5 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Code for Arxiv 2018 Paper "HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding"☆31Updated 6 years ago
- tNodeEmbed☆79Updated 2 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆103Updated 4 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆46Updated 6 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆55Updated 2 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆140Updated 6 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- ☆21Updated last year
- Implementation of the CTDNE algorithm.☆20Updated 6 years ago
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆75Updated 5 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 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
- Topological Recurrent Neural Network for Diffusion Prediction☆19Updated 7 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆53Updated 5 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- ☆75Updated 2 years ago
- ☆29Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago