edouardpineau / Variational-Recurrent-Neural-Networks-for-Graph-Classification
Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019
☆13Updated 4 years ago
Alternatives and similar repositories for Variational-Recurrent-Neural-Networks-for-Graph-Classification:
Users that are interested in Variational-Recurrent-Neural-Networks-for-Graph-Classification are comparing it to the libraries listed below
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- Sparse graph attention☆17Updated 6 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 5 months ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Updated 5 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Graph Learning Convolution Network☆38Updated last year
- Source code of GResNet☆16Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 7 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated last year
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- informal exposition of Weisfeiler-Leman similarity☆27Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 6 years ago
- ☆35Updated 5 years ago