mehdidc / dppLinks
Determinantal point process
☆19Updated 10 years ago
Alternatives and similar repositories for dpp
Users that are interested in dpp are comparing it to the libraries listed below
Sorting:
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆92Updated 7 years ago
- Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization☆21Updated 9 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆50Updated 8 years ago
- Python package to sample from determinantal point processes☆18Updated 10 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 7 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Official MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆53Updated 4 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆15Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Code and data for paper PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks☆17Updated 7 years ago
- Source Code of GraRep☆52Updated 7 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆54Updated 6 years ago
- Graphical Model for Recommender Systems☆20Updated 9 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago
- ☆13Updated 9 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Network Embedding Survey and Resources☆40Updated 8 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆24Updated 2 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- VAEs on Sparse Data☆12Updated 7 years ago
- ☆14Updated 11 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 10 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago