sckangz's Repositories
sckangz/LMVSC
sckangz/MvAGC
sckangz/GFSC
sckangz/SelfsupervisedSC
sckangz/SGL
sckangz/ICDE
sckangz/AAAI18
sckangz/SLKE
sckangz/multi-view
sckangz/LMVL
sckangz/L2SP
sckangz/Machine-Learning-Notes-1
周志华《机器学习》手推笔记
sckangz/mPAC
sckangz/leeml-notes
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
sckangz/HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
sckangz/AGC-master
sckangz/awesome-community-detection
A curated list of community detection research papers with implementations.
sckangz/Awesome-Crowd-Counting
Awesome Crowd Counting
sckangz/Awesome-Trajectory-Prediction
sckangz/Datasets-for-Heterogeneous-Graph
Datasets-for-Heterogeneous-Graph
sckangz/DeepLearningSlides
Slides for the teaching and learning about deep learning
sckangz/EssentialMath
sckangz/knowledge-graph-learning
A curated list of awesome knowledge graph tutorials, projects and communities.
sckangz/linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
sckangz/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
sckangz/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
sckangz/osqp
The Operator Splitting QP Solver
sckangz/pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
sckangz/rebiber
A simple tool in Python to fix incorrect bib entries automatically, based on their official information from the full ACL anthology and DBLP (for ICLR and other conferences)!
sckangz/sentimentanalysis-USelections
We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.