Stars
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
repo for CMU course - Machine Learning in Practice
An easy-to-use, flexible website template for labs.
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
PKU-DAIR / Hetu
Forked from Hsword/HetuA high-performance distributed deep learning system targeting large-scale and automated distributed training.
Generalized and Efficient Blackbox Optimization System.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:huaweicloud.ai
A scikit-learn compatible library for graph kernels
Generate embeddings from large-scale graph-structured data.
Models and examples built with TensorFlow
Repository contains the derivation of Belief Propagation algorithm from the ground up, as well as generic Java implementation of the Loopy Belief Propagation algorithm.
A curated list of network embedding techniques.
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec