benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
☆368Updated 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 4 months ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆275Updated 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 "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆525Updated 4 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- ☆350Updated 5 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- Graph Markov Neural Networks☆407Updated 4 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆260Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- Implementation of R-GCNs for Relational Link Prediction☆456Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆644Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆291Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆292Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆640Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆288Updated 4 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆385Updated 9 months ago
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆213Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆440Updated 5 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 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