shenzhiyang2000 Goto Github PK

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-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)

chineselatextemplate

中文的Latex模板，适合课程论文，笔记，报告什么的。

cl-tsne-umap

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

cm-gcl

Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

contrastive-ne

Contrastive neighbor embeddings

coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

cpf

The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

cplusplus-_implementation_of_introduction_to_algorithms

《算法导论》第三版中算法的C++实现

cs_gra-hitsz

哈尔滨工业大学（深圳）计算机科学与技术研究生课程

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusionspectralentropy

[ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

evennet

Pytorch implementation of EvenNet.

garbage

Test For GIt

get_ast_sbt

Make AST and SBT from java file

glem

gnn-random-indexing

Code for Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks published at IJCNN 2022

golomb-ruler

A CSP solution to verify whether or not a Golomb ruler of a fixed length L for M marks exists.

gppt

grace

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

grad

[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs