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.
lvXiangwei's Stars
programthink/books
【编程随想】收藏的电子书清单(多个学科,含下载链接)
WeijieyingRen/TabLog
Code of TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules, ICML 2024
pygda-team/pygda
PyGDA is a Python library for Graph Domain Adaptation
zibuyu/research_tao
NLP研究入门之道
WxxShirley/Awesome-Graph-Prompt
Awesome Papers About Performing Prompting On Graphs
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
HKUDS/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
hiyouga/LLaMA-Factory
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
tsun/LADA
Local Context-Aware Active Domain Adaptation (ICCV 2023)
cszhangzhen/GraphCTA
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation (WWW-2024)
Oceanusity/awesome-gnns-on-large-scale-graphs
yhLeeee/Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
jiaqingxie/Theories-of-Graph-Neural-Networks
A List of Papers on Theoretical Foundations of Graph Neural Networks
Skyorca/OpenGDA
(CIKM'23 resource track) Graph Domain Adaptation Benchmark for Cross-network Learning
Skyorca/Awesome-Graph-Domain-Adaptation-Papers
Published papers focusing on graph domain adaptation
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
SitaoLuan/LLM4Graph
XiaoxinHe/iclr2024_learning_on_graphs
List of papers on ICLR 2024
XiaoxinHe/neurips2023_learning_on_graphs
List of papers on NeurIPS2023
kaize0409/Awesome-Graph-OOD-Adaptation
uctb/ST-Paper
Spatio-Temporal Prediction Paper List
THUMNLab/awesome-large-graph-model
Papers about large graph models.
BUPT-GAMMA/GFMPapers
Must-read papers on graph foundation models (GFMs)
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
Wuyxin/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
THUMNLab/awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
MLNLP-World/Paper-Picture-Writing-Code
MLNLP: Paper Picture Writing Code
EdisonLeeeee/GraphData
A collection of graph data used for semi-supervised node classification.
doujiang-zheng/Graph-Learning-Reading-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.