jodie
Temporal network embedder
A PyTorch implementation of a representation learning framework for dynamic temporal networks
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
355 stars
6 watching
82 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
dynamic-networksembedding-trajectoriesembeddingskdd2019machine-learningnetwork-embeddingrepresentation-learningtemporal-network
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,669 |
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 jordipons/icassp2017 | Designs efficient architectures for modeling temporal features with deep learning networks | 16 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 812 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
 adambielski/capsnet-pytorch | An implementation of a deep learning model for image classification using capsule networks with dynamic routing. | 489 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 kefirski/bytenet | A Pytorch implementation of a neural network model for machine translation | 47 |
| benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 363 |
 torchspatiotemporal/tsl | A comprehensive library for processing spatiotemporal data with PyTorch | 272 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 320 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |