code for Multisample-based Contrastive Loss for Top-k Recommendation (IEEE TMM)

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

GraphDTA: Predicting drug-target binding affinity with graph neural networks

汇总各大互联网公司容易考察的高频leetcode题🔥

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Python algorithm templates and LeetCode problem solutions

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

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

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

a computational tool for analyzing single cell Hi-C data

Codes and data for the paper entitled "Learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network"

Must-read papers on graph neural networks (GNN)

A simple configurable bot for sending arXiv article alert by mail

Strategies for Pre-training Graph Neural Networks

🚀 fullstack tutorial 2020，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

《深入浅出图神经网络：GNN原理解析》配套代码

Deep Learning for Time Series Classification

L1 Trend Filtering

Tensorflow prebuilt binary for Windows

2019届秋招面经集合

Soft Wearables Parkinson disease Study - published on NDM