boxindu's repositories
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
LR-GCCF
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
KDD20-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library
FIRST_code
source code of FIRST
jemdoc_mathjax
jemdoc with MathJax support and more
DySAT
Representation learning on dynamic graphs using self-attention networks
python-cheatsheet
Comprehensive Python Cheatsheet
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
knowledgestream
Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"
mgcnn
Multi-Graph Convolutional Neural Networks
Competitive-Programming
My solutions from different contests and online Judge.