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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-public-datasets

A topic-centric list of HQ open datasets.

chinese-reading-notes-of-graph-learning

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cvxbook_additional_exercises

Additional exercises and data for EE364a. No solutions; for public consumption.

developer-books

编程开发相关书籍整理分享，持续更新...

dgnn-pytorch

Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".

dynamic-graph-papers

动态图表示论文汇总

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

gaen

gtcn

Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding

hierarchical-attention-har

[PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition

icml2023-ht

idphotos

证件照更换底色

leetcode

LeetCode日常刷题记录

machinelearning

参考<<机器学习实战>>这本书,自己写的一些代码.

mans

Memory Attention Networks, in IJCAI 2018

ml-capsules-inverted-attention-routing

multivariate-time-series-data

net3

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

san

Exploring Self-attention for Image Recognition, CVPR2020.

semgcn

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

sgn

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.

tianchi

记录第一次天池数据竞赛结果

tiara

Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)

tm-gcn

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

xshell-themes

一系列xshell主题

ysuthesis

Master thesis template for Yanshan University