Geo-DEG

A distributed graph deep learning framework.

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

[TMLR 2024] Efficient Large Language Models: A Survey

Training neural models with structured signals.

Efficient Deep Learning Systems course materials (HSE, YSDA)

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"