cxxszz Goto Github PK

2015-siggraph-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

996quant

35岁程序员退路之量化投资学习笔记

adfs_neurips

advt4ne_www2019

Adversarial Training Methods for Network Embedding, WWW2019.

ali-words

互联网黑话词汇表，包含“赋能、抓手、闭环、沉淀、打通”等阿里味儿词汇

arboricity

Compute arboricity and forest decomposition of graphs.

asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

backtrader

bcfw-bundle

A proximal bundle method for minimizing a sum of functions. Proximal steps for subfunctions are computed with a multi plane block coordinate Frank-Wolfe method.

cenalp

Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"

cheatsheets

Official Matplotlib cheat sheets

clip

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

cliquepercolationmethod-python

A python script for detecting communities in graphs using the clique percolation method.

clrs

📚 Solutions to Introduction to Algorithms Third Edition

cone-align

Network alignment using proximity-preserving node embedding and subspace alignment

conicbundle

ConicBundle software from https://www-user.tu-chemnitz.de/~helmberg/ConicBundle/ with additional cmake script

cot-gan

COT-GAN: Generating Sequential Data via Causal Optimal Transport

cpp-sort

Sorting algorithms & related tools for C++14

cxxszz.github.io

blog

dd_ilp

Construct integer linear problems pragmatically from dual decomposition based formulations. Solve them with various backends, like ILP solvers or SAT-based ones.

deep-graph-matching-consensus

Implementation of Deep Graph Matching Consensus in PyTorch

deep-graphical-feature-learning

deepwalk

DeepWalk - Deep Learning for Graphs

diffmg

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

diffusion

Efficient Diffusion for Image Retrieval

diffusiondistance

Codes for calculating graph Diffusion Distance Efficiently.

dip-gm

Mixing Integer Linear Programming and Deep Graph Matching

dplink

Codes for WWW'19 Paper-DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data

fmaplib

An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.