This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation

Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

A pytorch adversarial library for attack and defense methods on images and graphs

Platform for designing and evaluating Graph Neural Networks (GNN)

A curated list of fraud detection papers using graph information or graph neural networks

A curated list of adversarial attacks and defenses papers on graph-structured data.

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Best Practices on Recommendation Systems

links to conference publications in graph-based deep learning

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

Geometric Deep Learning Extension Library for PyTorch

Command-line program to download videos from YouTube.com and other video sites

A tensorflow implementation of RippleNet

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A tensorflow implementation of Knowledge Graph Convolutional Networks

A tensorflow implementation of Multi-task learning for Knowledge graph enhanced Recommender systems

Module (Python) for Eurostat online glossaries' web scraping, ontology indexing and semantic classification

The DeepMind Control Suite and Control Package

This repository contains some datasets that I have collected in Recommender Systems.

Fork of networkx drawing utilities for publication quality plots of networks

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

A curated list of resources for NLP (Natural Language Processing) for Chinese 中文自然语言处理相关资料

A curated list of awesome computer vision resources

Source code for ``A Structured Self-Attentive Sentence Embedding`` published in ICLR 2017

An Open-Source Package for Network Embedding (NE)