BiGI

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

A easy library for recommendation system or computational advertising

Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Minimum-distortion embedding with PyTorch

Deep and conventional community detection related papers, implementations, datasets, and tools.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

[BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.