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251 public repositories
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深度学习入门教程, 优秀文章, Deep Learning Tutorial
Updated
Apr 21, 2022
Jupyter Notebook
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
A work-in-progress PlayStation 4 emulator.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Updated
May 31, 2022
Python
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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Apr 24, 2022
Python
Updated
Feb 24, 2021
Jupyter Notebook
Updated
May 26, 2022
Python
resources for graph convolutional networks （图卷积神经网络相关资源）
Updated
Jul 13, 2019
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
Mar 2, 2022
Python
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
Updated
Dec 27, 2021
Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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May 26, 2022
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Mar 2, 2022
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
Mar 2, 2022
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Updated
May 21, 2022
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
Mar 2, 2022
Python
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Updated
Apr 16, 2022
Python
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
Updated
Dec 2, 2021
Jupyter Notebook
An index of recommendation algorithms that are based on Graph Neural Networks.
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Updated
Oct 5, 2021
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Mar 2, 2022
Python
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Updated
Oct 16, 2020
Jupyter Notebook
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Updated
Jun 9, 2020
Python
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Updated
May 26, 2022
Python
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Updated
Apr 5, 2022
Jupyter Notebook
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Mar 2, 2022
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
Mar 2, 2022
Python
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Updated
Sep 19, 2018
Python
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Description
Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.
This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/