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:
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 6 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆56Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 7 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated 2 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 9 months ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- ☆35Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Matlab code for the method proposed in "Final: Fast attributed network alignment" (KDD'16)☆30Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- Poincaré Embedding☆40Updated 7 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- tNodeEmbed☆79Updated 2 years ago
- Dynamic Youtube graphs☆27Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- Graph kernels☆56Updated 3 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆45Updated 6 years ago
- ☆173Updated 6 years ago
- Learning graph representations using autoencoder☆51Updated 8 years ago