lvXiangwei
My name is Lv Xiangwei and I am currently studying in the School of Computer Science and Technology at Zhejiang University.
Zhejiang UniversityNo. 866, Yuhang Tang Road, Xihu District, Hangzhou City, Zhejiang Province, China.
Pinned Repositories
code-roadmap
原创编程学习路线,包括全面的知识点、免费资源、面试题、学习建议、项目,适用于所有学习编程、求职的同学。已完成 Java、前端
cs224n_assignment
DACE
Education-Exploration
This repo is for some exploration in Educational region.
GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
graphtrans
Representing Long-Range Context for Graph Neural Networks with Global Attention
Hi-ArG
Code repository of "Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining".
lrgb
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
lvXiangwei's Repositories
lvXiangwei/code-roadmap
原创编程学习路线,包括全面的知识点、免费资源、面试题、学习建议、项目,适用于所有学习编程、求职的同学。已完成 Java、前端
lvXiangwei/cs224n_assignment
lvXiangwei/DACE
lvXiangwei/Education-Exploration
This repo is for some exploration in Educational region.
lvXiangwei/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
lvXiangwei/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
lvXiangwei/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
lvXiangwei/graphtrans
Representing Long-Range Context for Graph Neural Networks with Global Attention
lvXiangwei/Hi-ArG
Code repository of "Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining".
lvXiangwei/lrgb
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
lvXiangwei/pytorch-template
PyTorch deep learning projects made easy.
lvXiangwei/surge_pytorch
lvXiangwei/VirtualNodeGraph
This repository focuses on virtual nodes used for node classification.