blacker521 Goto Github PK

ai-paper-collector

Fully-automated scripts for collecting AI-related papers

aiwei_coal_analyze

algorithm_and_more

LeetCode Solution and Everything

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-graph

A curated list of resources for graph databases and graph computing tools

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-graph-structure-learning

A collection of research papers related to graph structure learning(GSL).

awesome-knowledge-graph

整理知识图谱相关学习资料

blacker521

Config files for my GitHub profile.

blacker521.github.io

chinese-clip

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs

ctf_wiki

gcn-lrp

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

hosts

:gift_heart:最新可用的google hosts文件。3000多个google ip任你使！

hotfunction_masnum_wave

This is a part of Asc17 . Our job is to find out way to optimize musnum_wave

idea

we help you find the you really want

labpr

leetcode

to manage code solving leetcode-like problems

lrp2a

mice_of_algorithm

mpi

mrdoc

基于Python开发的在线文档系统，适合作为个人和小型团队的文档、笔记、知识管理工具。http://mrdoc.zmister.com

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

notes_about_graph

Notes on Contrastive Learning(CL)

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.