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Hi ๐Ÿ‘‹

๐Ÿ˜„ I'm Ke Liang.

๐Ÿ”ญ I graduated from Beihang University (BUAA) and Pennsylvania State University (PSU).

๐ŸŒฑ I am working hard and pursuing my doctorate degree in the College of Computer, National University of Defense Technology (NUDT).

๐Ÿ‘ฏ Iโ€™m looking to collaborate on Knowledge Graphs, Graph Learning, Multi-view Learning and Healthcare AI.

๐Ÿ“ซ Reach me at [email protected]

liangke23's Projects

basicts icon basicts

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

blp icon blp

"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

data-augmentation-review icon data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

dgl icon dgl

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

dink-net icon dink-net

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

grail icon grail

Inductive relation prediction by subgraph reasoning, ICML'20

kge icon kge

Some papers on Knowledge Graph Embedding(KGE)

kgs-survey icon kgs-survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

kracl icon kracl

Source code for "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"

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