liuchuang0059 Goto Github PK

hgp-sl

Hierarchical Graph Pooling with Structure Learning

hi-gcn

Code of hi-GCN

hibpool

hyperbolic_embedding_papers

Papers on Hyperbolic embeddings and Hyperbolic Neural Network

idgl

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

infograph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

interview-notebook

:calendar: 准备秋招学习笔记

keras

Deep Learning for humans

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

keras-gcn

Keras implementation of Graph Convolutional Networks

kgpool

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

kplex-pool

K-plex Cover Pooling for Graph Neural Networks

l3

Network-based prediction of protein interactions

label-contrastive-coding-based-graph-neural-network-for-graph-classification-

Python Implementation

large_file

图床

lds-gnn

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

learn_cpp

c++入门学习（c++primer 5th）

learnpool

Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

line-1

LINE: Large-scale information network embedding

linear_graph_autoencoders

Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)

link-prediction

链路预测学习代码整理

link-prediction-1

Representation learning for link prediction within social networks

litegt

[CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers

localcapsulepoolingnetwork

a graph pooling of cluster selecting method using capsule network

lshknn

k nearest neighbor (KNN) graphs via Pearson correlation distance and local sensitive hashing (LSH).

machinelearning

Machine learning resources

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

mewispool