#计算机科学#links to conference publications in graph-based deep learning
翻译 - 基于图的深度学习中会议出版物的链接
#计算机科学#A distributed graph deep learning framework.
翻译 - 分布式图深度学习框架。
#计算机科学#A library for graph deep learning research
翻译 - 图深度学习研究库
#计算机科学#Python package built to ease deep learning on graph, on top of existing DL frameworks.
翻译 - 在现有DL框架之上构建的Python软件包，用于简化图上的深度学习。
A comprehensive collection of recent papers on graph deep learning
翻译 - 关于图深度学习的最新论文的全面收藏
Deep learning with dynamic computation graphs in TensorFlow
翻译 - 使用TensorFlow中的动态计算图进行深度学习
#自然语言处理#📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
翻译 - CogDL：用于图形的广泛研究工具包
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
Deep Learning 中文翻译
#计算机科学#《MIT Deep Learning》PDF格式
《Grokking Deep Learning》-《图解深度学习》
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
翻译 - Lanczos网络，图神经网络，深图卷积网络，图结构数据的深度学习，QM8量子化学基准测试，ICLR 2019
Graph SuperResolution Network using geometric deep learning.
A Computation Graph Virtual Machine based ML Framework
Distributed Deep Graph Learning Framework for Dynamic Graphs
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
A PyTorch implementation of "Towards Unsupervised Deep Graph Structure Learning", WWW-22
#计算机科学#Keras是一个基于 Python 的深度学习库，能够在TensorFlow、Microsoft Cognitive Toolkit、Theano或PlaidML之上运行。