schenglee
A PhD candidate in CS@NJU.
NanJing University xianlin campus , xianlin avenue no.163, Jiangsu
Pinned Repositories
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
course_gnn_mal_detect
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
EMNLP2020-Graph2Tree
A encoder decoder model from graph to tree.
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
Graph4nlp_demo
This is a repo for graph4nlp demo
group-attention
JinYongNovelAnalysis
对金庸武侠小说中人物关系的大数据分析图
lectures
Oxford Deep NLP 2017 course
math_seq2tree
Seq2Tree model for Solving Math Word Problems
schenglee's Repositories
schenglee/course_gnn_mal_detect
schenglee/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
schenglee/EMNLP2020-Graph2Tree
A encoder decoder model from graph to tree.
schenglee/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
schenglee/Graph4nlp_demo
This is a repo for graph4nlp demo
schenglee/group-attention
schenglee/JinYongNovelAnalysis
对金庸武侠小说中人物关系的大数据分析图
schenglee/lectures
Oxford Deep NLP 2017 course
schenglee/math_seq2tree
Seq2Tree model for Solving Math Word Problems
schenglee/NJU-DisSys-2017
Distributed System, Fall 2017, CS@NJU
schenglee/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
schenglee/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
schenglee/Predicting-Path-Failure-In-Time-Evolving-Graphs
The source code of kdd2019 project
schenglee/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
schenglee/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
schenglee/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
schenglee/schenglee.github.io
schenglee/Sharvin-Shah-Spring-2018
Independent study and pytorch implementation of tree-to-tree
schenglee/T-RNN
schenglee/toys
A collection of toys