benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
☆364Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for APPNP
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆319Updated last year
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆320Updated 2 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆268Updated last year
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆402Updated 2 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆268Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆448Updated 5 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆285Updated 3 years ago
- ☆345Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆208Updated 2 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆252Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆475Updated 2 years ago
- Distance Encoding for GNN Design☆183Updated 3 years ago
- Implementation of R-GCNs for Relational Link Prediction☆443Updated last year
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆283Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆253Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆832Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆436Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆630Updated 2 years ago
- ☆415Updated 5 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 4 years ago
- Graph Markov Neural Networks☆401Updated 4 years ago
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆253Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆281Updated last year
- Multi-Graph Convolutional Neural Networks☆251Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated last year
- ☆479Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆330Updated 4 years ago