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深度学习入门教程, 优秀文章, Deep Learning Tutorial
Created
2018-04-09
554 commits to master branch, last one 2 years ago
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
Created
2019-05-18
285 commits to master branch, last one about a year ago
StellarGraph - Machine Learning on Graphs
gcn
graphs
python
networkx
graph-data
data-science
saliency-map
deep-learning
graph-analysis
link-prediction
interpretability
machine-learning
stellargraph-library
graph-neural-networks
graph-machine-learning
heterogeneous-networks
geometric-deep-learning
machine-learning-algorithms
graph-convolutional-networks
Created
2018-04-13
2,535 commits to develop branch, last one 3 years ago
A distributed graph deep learning framework.
Created
2019-01-10
8 commits to master branch, last one 4 years ago
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
gcn
gnn
pytorch
spatial-data
deep-learning
temporal-data
node-embedding
spatiotemporal
graph-embedding
network-science
temporal-graphs
spatial-analysis
graph-convolution
network-embedding
temporal-networks
spatio-temporal-data
graph-neural-networks
spatio-temporal-analysis
graph-convolutional-networks
Created
2020-06-27
1,949 commits to master branch, last one about a month ago
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Created
2019-12-05
2,319 commits to master branch, last one 4 months ago
A work-in-progress PlayStation 4 emulator.
Created
2019-06-20
1,554 commits to master branch, last one about a year ago
《深入浅出图神经网络:GNN原理解析》配套代码
Created
2019-10-21
36 commits to master branch, last one 3 years ago
Next RecSys Library
Created
2019-02-25
217 commits to master branch, last one 3 years ago
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Created
2021-09-23
21 commits to main branch, last one about a year ago
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Created
2020-04-30
107 commits to master branch, last one about a year ago
resources for graph convolutional networks (图卷积神经网络相关资源)
Created
2019-05-11
85 commits to master branch, last one 5 years ago
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Created
2021-11-24
410 commits to main branch, last one about a month ago
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Created
2019-08-17
8 commits to master branch, last one 2 years ago
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created
2019-06-17
144 commits to master branch, last one 2 years ago
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Created
2019-01-31
172 commits to master branch, last one about a year ago
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
Created
2019-04-02
206 commits to master branch, last one 2 years ago
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
Created
2021-03-26
206 commits to v2 branch, last one 3 months ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 8 months ago
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Created
2019-01-18
118 commits to master branch, last one about a year ago
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Created
2021-03-07
246 commits to main branch, last one about a year ago
The PyTorch implementation of STGCN.
Created
2020-11-16
227 commits to main branch, last one 3 months ago
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Created
2019-02-04
613 commits to master branch, last one 2 years ago
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Created
2019-02-23
141 commits to master branch, last one 2 years ago
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Created
2019-02-12
155 commits to master branch, last one 2 years ago
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
Created
2019-04-08
20 commits to master branch, last one 3 years ago
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Created
2020-02-25
7 commits to master branch, last one 4 years ago
Hierarchical Graph Pooling with Structure Learning
Created
2019-11-12
23 commits to master branch, last one 3 years ago
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Created
2019-02-20
48 commits to master branch, last one about a year ago
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Created
2019-05-17
58 commits to master branch, last one 4 years ago