tvayer / PSCN
A python implementation of Patchy-San Convolutional Network for Graph
☆41Updated 4 years ago
Alternatives and similar repositories for PSCN:
Users that are interested in PSCN are comparing it to the libraries listed below
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- ☆35Updated 5 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆88Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆55Updated 6 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆175Updated 6 years ago
- ☆37Updated 5 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 6 months ago
- Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".☆11Updated 7 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- tensorflow-as-gcn☆92Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆75Updated 6 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 6 years ago
- Graph convolutional recurrent neural network☆179Updated 7 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago