Graph Auto-Encoder in PyTorch
☆81Apr 14, 2023Updated 3 years ago
Alternatives and similar repositories for gae_in_pytorch
Users that are interested in gae_in_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Graph Auto-Encoders in TensorFlow☆1,743Jan 3, 2020Updated 6 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Jan 31, 2023Updated 3 years ago
- Graph Attention Auto-Encoders☆80Mar 24, 2023Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Jul 6, 2023Updated 3 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Apr 8, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Feb 28, 2022Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 7 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73May 20, 2018Updated 8 years ago
- Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"☆17Nov 15, 2017Updated 8 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆54Nov 5, 2018Updated 8 years ago
- Learning neural network embeddings in hyperbolic spaces☆15Dec 4, 2019Updated 6 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Jan 15, 2020Updated 6 years ago
- A Tree-LSTM-based dependency tree sentiment labeler☆15May 9, 2019Updated 7 years ago
- Hyperbolic Disk Embeddings for Directed Acyclic Graphs (ICML 2019)☆20May 13, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- (IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning☆10Nov 25, 2022Updated 3 years ago
- code of SHNE☆16Mar 14, 2019Updated 7 years ago
- Distributed Feedback-Looped Networks☆10Jan 15, 2020Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Nov 4, 2018Updated 8 years ago
- ☆13Nov 15, 2016Updated 9 years ago
- SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations☆11Sep 26, 2023Updated 3 years ago
- ☆10Jul 25, 2024Updated 2 years ago
- Open Resources For network embedding☆15Feb 24, 2020Updated 6 years ago
- Graph-based Reinforcement Learning☆16Jul 9, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- patchy-san implemented in Chainer☆48Aug 22, 2018Updated 8 years ago
- An VGAE implementation using pytorch geometric.☆49Jun 6, 2020Updated 6 years ago
- The implementations of Graph Convolutional Neural Network models☆12Aug 8, 2020Updated 6 years ago
- Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation☆42Aug 24, 2020Updated 6 years ago
- GCNs Analysis: Visualization, Error Cases etc.☆14Feb 15, 2023Updated 3 years ago
- A Novel Listwise Collaborative Ranking Algorithm published at ICML'18☆17Jan 17, 2019Updated 7 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆90Mar 25, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,399Sep 20, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Jun 7, 2017Updated 9 years ago
- ☆20Jul 30, 2024Updated 2 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆177May 23, 2022Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆38Mar 2, 2021Updated 5 years ago
- ☆13Sep 18, 2019Updated 7 years ago
- Official code for ICML 2026 paper "A Diffusive Classification Loss for Learning Energy-based Generative Models"☆14May 21, 2026Updated 5 months ago
- Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow☆12Mar 28, 2019Updated 7 years ago