benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
☆366Updated 2 years ago
Alternatives and similar repositories for APPNP:
Users that are interested in APPNP are comparing it to the libraries listed below
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆271Updated last year
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆323Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆208Updated 2 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆403Updated 2 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆271Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆521Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆477Updated 2 years ago
- ☆349Updated 4 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆286Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆458Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- ☆416Updated 5 years ago
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆212Updated last year
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆255Updated 5 years ago
- Implementation of R-GCNs for Relational Link Prediction☆450Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆439Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆791Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆252Updated 6 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆255Updated 2 years ago
- ☆171Updated 6 years ago
- This repository provides a reference implementation of struc2vec.☆386Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆184Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆799Updated 5 years ago