Shengsheng's repositories
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
BERT-ENN
Uncertainty-Aware Reliable Text Classification (KDD 2021)
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
CCADA
Joint Contrastive Learning for Unsupervised Domain Adaptation
CoCoS
This is the code repository of AAAI2022 paper 'CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing'
crack-detector
Web app powered by AI to detect cracks on any surface. CHECK LICENSES!
Crosslingula-KG-Matching
This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment viaGraph Matching Neural Network"
DANN-pytorch
Implementation of DANN with pytorch
DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
DRL
Deep Reinforcement Learning
DynamicTriad
Dynamic Network Embedding by Modeling Triadic Closure Process
FairGNN
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
FOREST
source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"
GoodNews
Good News Everyone! - CVPR 2019
graph_attention_pool
Attention in Graph Neural Networks using PyTorch https://arxiv.org/abs/1905.02850
GRecX
GNN-based Recommendation Benchma
HAN
Network Embedding
k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
KDD2019_HetGNN
code of HetGNN
meta-transfer-learning-tensorflow
TensorFlow implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
MMDNE
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
MuCGEC
MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"
NRGNN
A PyTorch implementation of "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021)
RetinaNet_Tensorflow_Rotation
Focal Loss for Dense Rotation Object Detection
Stronger_GCN
PyTorch implementation of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
tf-gnn-samples
Tensorflow implementations of Graph Neural Networks