benedekrozemberczki / SGCNLinks
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
☆274Updated 2 years ago
Alternatives and similar repositories for SGCN
Users that are interested in SGCN are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆368Updated 2 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 7 months ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆260Updated 2 years ago
- ☆352Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆256Updated 5 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆197Updated last year
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)☆173Updated 2 years ago
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆213Updated 2 years ago
- Graph Markov Neural Networks☆410Updated 5 years ago
- Hyperbolic Graph Neural Networks☆236Updated 5 years ago
- A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).☆167Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago