Alternatives and similar repositories for RNN-attention-network

Users that are interested in RNN-attention-network are comparing it to the libraries listed below

• Koldh / LearnableGroupTransform-TimeSeries
  ☆8Updated 4 years ago
• Sarunas-Girdenas / neural_decomposition
  Neural Decomposition Code for Time Series
  ☆21Updated 6 years ago
• shps / incremental-representation-learning
  Incremental vertex representation learning using random walks and skip-gram model.
  ☆12Updated 6 years ago
• supriya-gdptl / STWalk
  Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"
  ☆17Updated 7 years ago
• sbonner0 / temporal-neighbourhood-aggregation
  Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…
  ☆8Updated 4 years ago
• baoyujing / NET3
  ☆18Updated 4 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• lgalke / aae-recommender
  Adversarial Autoencoders for Recommendation Tasks
  ☆19Updated 2 years ago
• nmuralid1 / DynamicAttentionNetworks
  Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems
  ☆10Updated 5 years ago
• tlatkowski / tf-feature-selection
  Implementation of various feature selection methods using TensorFlow library.
  ☆9Updated 2 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆20Updated 3 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• Ivanopolo / modnet
  Code for the paper "Unsupervised Community Detection with Modularity-based Attention Model"
  ☆36Updated 5 years ago
• daiquocnguyen / Caps2NE
  A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
  ☆24Updated 4 years ago
• hanliu95 / DFM
  Discrete Factorization Machines
  ☆10Updated 7 years ago
• RingBDStack / dynamic_network_embedding
  ☆12Updated 7 years ago
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆24Updated 5 years ago
• shuaiOKshuai / D2AGE
  The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
  ☆12Updated 7 years ago
• vwz / SPE
  Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network
  ☆13Updated 7 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• INK-USC / DArtNet
  Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
  ☆21Updated 4 years ago
• StatsDLMathsRecomSys / Generative-Graph-Convolutional-Network-for-Growing-Graphs
  ☆12Updated 5 years ago
• ZW-ZHANG / TIMERS
  This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).
  ☆12Updated 6 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆28Updated last year
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• leoguti85 / GraphEmbs
  Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
  ☆17Updated 5 years ago