benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
☆208Updated 2 years ago
Alternatives and similar repositories for SEAL-CI:
Users that are interested in SEAL-CI are comparing it to the libraries listed below
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆324Updated 2 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆271Updated 2 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆403Updated 2 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
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆366Updated 2 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆271Updated last year
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆255Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 2 months ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 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".☆174Updated 6 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆255Updated 2 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated last year
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- ☆136Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆139Updated 6 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆134Updated 5 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆330Updated 4 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆115Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Multi-Graph Convolutional Neural Networks☆252Updated 6 years ago
- Implementation of R-GCNs for Relational Link Prediction☆452Updated last year