Pinned Repositories
AutoGL
An autoML framework & toolkit for machine learning on graphs.
awesome-large-graph-model
Papers about large graph models.
AutoGL
An autoML framework & toolkit for machine learning on graphs.
CellDecoder
Cell Decoder: Decoding cell identity with multi-scale explainable deep learning
DHGAS
Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
DIDA
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
libwon
LLM4DyG
Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"
sild
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
TSP-HAC
Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
wondergo2017's Repositories
wondergo2017/TSP-HAC
Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
wondergo2017/DHGAS
Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
wondergo2017/DIDA
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
wondergo2017/sild
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
wondergo2017/LLM4DyG
Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"
wondergo2017/libwon
wondergo2017/AutoGL
An autoML framework & toolkit for machine learning on graphs.
wondergo2017/CellDecoder
Cell Decoder: Decoding cell identity with multi-scale explainable deep learning
wondergo2017/conference-paper-rss.github.io
reading conference paper using rss
wondergo2017/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)
wondergo2017/GluttonousSnake
wondergo2017/MVCclone
wondergo2017/os_course_exercises
Exercises for OS course
wondergo2017/dsgas
wondergo2017/raytrace3
wondergo2017/ucore_os_lab
os kernel labs for operating systems course in Tsinghua University.