shenxiaocam / Deep-network-embedding-for-graph-representation-learning-in-signed-networksLinks
Deep network embedding for graph representation learning in signed networks
☆14Updated 5 years ago
Alternatives and similar repositories for Deep-network-embedding-for-graph-representation-learning-in-signed-networks
Users that are interested in Deep-network-embedding-for-graph-representation-learning-in-signed-networks are comparing it to the libraries listed below
Sorting:
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 5 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago
- Deep Autoencoder-like NMF☆23Updated 4 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- Multi-view Spectral Clustering on Conflicting Views☆15Updated 8 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- Removal of information from co-association matrix for clustering ensemble☆17Updated 6 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".☆20Updated 3 years ago
- Subspace clustering guided unsupervised feature selection☆13Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆13Updated 8 years ago
- Learning Deep Representations for Graph Clustering Implementation☆20Updated 6 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Updated 6 years ago
- ☆20Updated 5 years ago
- Heterogeneous Graph Attention Auto-Encoders☆17Updated 5 years ago
- dmne is an algorithm to learn node representations from multi-network data.☆14Updated 7 years ago
- The code of SCHAIN in the paper Semi-supervised Clustering in Attributed Heterogeneous Information Networks☆10Updated 6 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Attributed graph datasets with ground truth clusters☆12Updated 3 years ago
- ☆16Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆88Updated 2 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago
- The tensorflow prototype of "Local Low-rank Matrix Approximation" (LLORMA)☆10Updated 6 years ago
- AAAI 17 work☆18Updated 8 years ago
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 6 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Updated 2 years ago