TuftsBCB / Walker
Python implementation of Kohler et al.'s random walk with restart
☆29Updated 6 years ago
Alternatives and similar repositories for Walker:
Users that are interested in Walker are comparing it to the libraries listed below
- OhmNet: Representation learning in multi-layer graphs☆82Updated 4 years ago
- embedding attributed graphs☆58Updated 3 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆65Updated 7 years ago
- Benchmark for Graph Embedding Methods☆47Updated 4 years ago
- Learning node representation using edge semantics☆53Updated 5 years ago
- node2vec implementation in C++☆53Updated 4 years ago
- ☆172Updated 6 years ago
- Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…☆74Updated 4 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆55Updated 6 years ago
- mixed membership stochastic block model☆13Updated 8 years ago
- ☆12Updated 6 years ago
- dmne is an algorithm to learn node representations from multi-network data.☆14Updated 6 years ago
- Learning graph representations using autoencoder☆51Updated 8 years ago
- ☆28Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated last year
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Deep Neural Networks Based Approaches for Graph Embeddings☆26Updated 7 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆94Updated 3 years ago
- A novel approach to evaluate community detection algorithms on ground truth☆22Updated 3 years ago
- ☆29Updated 7 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆185Updated 5 years ago
- Relation learning on content-rich diffusion networks☆12Updated 6 years ago
- Algorithms for local community detection in networks☆25Updated 8 years ago
- ☆37Updated 7 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆91Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆73Updated 7 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Implementation of ComE algorithm☆59Updated 2 years ago
- A package for computing Graph Kernels☆33Updated 6 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago