xuqiongkai / NoiseGraphDatasetLinks
Graph Datasets with Synthetic Noise Edges
☆13Updated 5 years ago
Alternatives and similar repositories for NoiseGraphDataset
Users that are interested in NoiseGraphDataset are comparing it to the libraries listed below
Sorting:
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Hyperbolic Graph Neural Networks☆248Updated 6 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- ☆144Updated 4 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆179Updated 2 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆374Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆198Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated last year
- ☆173Updated 7 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆274Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- ☆356Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆492Updated 7 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Updated 2 years ago
- Curvature Graph Network☆19Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆144Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago