Pinned Repositories
AFGRL
The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
astminer
A library for mining of path-based representations of code (and more)
Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Awesome-Machine-Learning-On-Source-Code-V2
A curated list of awesome research papers, datasets and software projects devoted to machine learning and source code.
bgrl
PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
GNN-random-indexing
Code for Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks published at IJCNN 2022
NODESAFE-Bounded-and-Uniform-Energy-based-Out-of-distribution-Detection-for-Graphs
ICML2024: Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
pyqt5-yolov5-v3.0
ShenzhiYang2000's Repositories
ShenzhiYang2000/NODESAFE-Bounded-and-Uniform-Energy-based-Out-of-distribution-Detection-for-Graphs
ICML2024: Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
ShenzhiYang2000/Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
ShenzhiYang2000/Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
ShenzhiYang2000/CoGNN
ShenzhiYang2000/contrastive-ne
Contrastive neighbor embeddings
ShenzhiYang2000/DiffusionSpectralEntropy
[ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
ShenzhiYang2000/graduation-yolov5-master
ShenzhiYang2000/graph-of-thoughts
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
ShenzhiYang2000/hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
ShenzhiYang2000/HITSZ-OpenCS
哈尔滨工业大学（深圳）计算机专业课程攻略 | Guidance for courses in Department of Computer Science, Harbin Institute of Technology (Shenzhen)
ShenzhiYang2000/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
ShenzhiYang2000/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
ShenzhiYang2000/MGSSL
Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
ShenzhiYang2000/O-LoRA
ShenzhiYang2000/O4A
Improved OneForAll for heterophily graph.
ShenzhiYang2000/OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
ShenzhiYang2000/open-delta
ShenzhiYang2000/ProCo
[TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
ShenzhiYang2000/ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
ShenzhiYang2000/R2LP
ShenzhiYang2000/ReasoningArxiv
Reasoning Arxiv feed, forked from MyArxiv
ShenzhiYang2000/ReVar
[NeurIPS 2023]The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition" .
ShenzhiYang2000/SCL_Geometry_And_Batching
ShenzhiYang2000/SimTeG
Official Repo of SimTeG
ShenzhiYang2000/TAPE
Repository for TAPE
ShenzhiYang2000/Towards-graph-foundation-models
ShenzhiYang2000/Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
ShenzhiYang2000/Unlink-to-Unlearn
Code repository of "Unlink to Unlearn: Simplifying Edge Unlearning in GNNs".
ShenzhiYang2000/yolov5-master
real
ShenzhiYang2000/yolov5-master-2022-4-19
almost