abojchevski / graph2gaussLinks
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
☆177Updated 2 years ago
Alternatives and similar repositories for graph2gauss
Users that are interested in graph2gauss are comparing it to the libraries listed below
Sorting:
- ☆173Updated 6 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆254Updated 6 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆57Updated 7 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 8 years ago
- embedding attributed graphs☆57Updated 3 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 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
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆141Updated 6 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆120Updated 2 years ago
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆76Updated 5 years ago
- Heterogeneous information network representation learning☆162Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 10 months ago
- Implementation of ComE algorithm☆59Updated 3 years ago
- ☆354Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)☆87Updated 2 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization☆132Updated 3 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆46Updated last year
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆54Updated 6 years ago
- An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).☆61Updated 3 years ago