shenxiaocam / Deep-network-embedding-for-graph-representation-learning-in-signed-networks
Deep network embedding for graph representation learning in signed networks
☆14Updated 4 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
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆30Updated 7 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Updated 6 years ago
- Multi-view Spectral Clustering on Conflicting Views☆15Updated 7 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 6 years ago
- ☆17Updated 2 years ago
- The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.☆12Updated 7 years ago
- An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".☆20Updated 2 years ago
- Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".☆21Updated 6 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years 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 "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 4 years ago
- Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms o…☆11Updated 8 years ago
- dmne is an algorithm to learn node representations from multi-network data.☆14Updated 6 years ago
- Code for nonconvex graph trend filtering☆10Updated 2 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- ☆16Updated 4 years ago
- Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization☆12Updated 8 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Learning Signed Network Embedding via Graph Attention, aaai2020☆21Updated 4 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆13Updated 3 years ago
- The tensorflow prototype of "Local Low-rank Matrix Approximation" (LLORMA)☆11Updated 6 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18☆12Updated 4 years ago
- Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".☆11Updated 7 years ago
- ☆50Updated 3 years ago
- Graph Clustering with Embedding Propagation☆16Updated 6 years ago
- Deep Autoencoder-like NMF☆23Updated 4 years ago