ihollywhy / SPAGANLinks
PyTorch Implement for Path Attention Graph Network
☆43Updated 6 years ago
Alternatives and similar repositories for SPAGAN
Users that are interested in SPAGAN are comparing it to the libraries listed below
Sorting:
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- ☆302Updated 3 years ago
- ☆53Updated 6 years ago
- ☆30Updated 5 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆212Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Graph Cross Network☆48Updated 5 years ago
- ☆62Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- ☆49Updated 6 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 3 months ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆212Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated last year