benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
☆211Updated 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 "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 2 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆368Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆275Updated 2 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 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".☆178Updated 6 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
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆213Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆333Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆134Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 4 months ago
- ☆490Updated 4 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆156Updated 7 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).☆65Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆525Updated 4 years ago