amirkhas / GraphMemoryNet
Memory-Based Graph Networks
☆101Updated 2 years ago
Related projects: ⓘ
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆97Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated last month
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆107Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆153Updated last year
- Source code for PairNorm (ICLR 2020)☆77Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Code for reproducing results in GraphMix paper☆71Updated last year
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆122Updated 5 years ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆53Updated 2 years ago
- ☆37Updated 5 years ago
- ☆60Updated 3 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆121Updated 5 years ago
- ☆30Updated last year
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- ☆35Updated 5 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆28Updated 5 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆109Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 4 months ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated last year
- Dual Graph Convolution Networks☆94Updated 5 years ago
- ☆39Updated 7 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆78Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆190Updated 6 months ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 4 years ago