GentleZhu

HEER

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

Shift-Robust-GNNs

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

ReMine

Integrating Local Context and Global Cohesiveness for Open Information Extraction(WSDM'19)

Face_Alignment

Implementation about advanced Face alignment (Face landmark detection)

CG-MuAlign

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)

EGI

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

text_summarization

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization (SDM 21')

pose_machine

articulate keypoints detection and pose estimation

ReQuest

Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)

Rspackage

tacred-relation

Position-aware attention model for relation extraction

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

ALRA

Active learning on relative attributes

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ETypeClus

gentlezhu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

GPRGNN

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

graphworld

Graphworld for distribution shifts

H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

hgaprec

Algorithms for Bayesian Poisson factorization

human_annotation_system

HumanAugmentedLTR

multi-mol-generalization

Official implementation of pre-training via denoising for TorchMD-NET

mywar

a online tower defense web game

NLP-Papers

Natural Language Processing Papers

node2vec

Experimental network embedding use pytorch

old_website

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

spektral

Graph Neural Networks with Keras and Tensorflow 2.