Graph Auto-Encoder in PyTorch
☆447Mar 17, 2024Updated 2 years ago
Alternatives and similar repositories for gae-pytorch
Users that are interested in gae-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:
- Graph Auto-Encoder in PyTorch☆81Apr 14, 2023Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆418Sep 20, 2021Updated 4 years ago
- 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
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆358Apr 25, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 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
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Jul 6, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,396Sep 20, 2020Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,082Feb 15, 2023Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Jul 8, 2020Updated 6 years ago
- Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems☆11Oct 19, 2023Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,122Jul 6, 2023Updated 3 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Apr 24, 2023Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆688Oct 3, 2023Updated 2 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.
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆733Jan 20, 2022Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆136Oct 12, 2020Updated 5 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- Inferring disease-associated miRNAs☆10Mar 21, 2020Updated 6 years ago
- Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)☆27Dec 9, 2021Updated 4 years ago
- Graph Attention Auto-Encoders☆80Mar 24, 2023Updated 3 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆23Apr 6, 2022Updated 4 years ago
- Structural Deep Clustering Network☆292Jul 6, 2023Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆366Jul 9, 2020Updated 6 years ago
- How Powerful are Graph Neural Networks?☆1,285Jul 1, 2021Updated 5 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆422Jul 25, 2024Updated 2 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆117Mar 22, 2021Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,237Mar 28, 2025Updated last year
- The source code of HeCo☆173Apr 8, 2022Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,070Jul 29, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Reimplementation of Graph Embedding methods by Pytorch.☆177May 23, 2022Updated 4 years ago
- Heterogeneous Graph Neural Network☆1,219May 6, 2020Updated 6 years ago
- ⚡️Lightweight framework for NLP research, based on PyTorch⚡️☆12Apr 5, 2023Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆310May 12, 2023Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆496Dec 5, 2018Updated 7 years ago
- Implementation of : "Greene, Derek, Donal Doyle, and Padraig Cunningham. "Tracking the evolution of communities in dynamic social network…☆12May 5, 2022Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆261Aug 25, 2020Updated 6 years ago