Pinned Repositories
AGCSC
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
awesome-graph-representation-learning
A curated list for awesome graph representation learning resources.
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
Cost-sensitive-sparse-subset-selection
DeepClustering
Methods and Implements of Deep Clustering
GNNPapers
Must-read papers on graph neural networks (GNN)
Learning-idempotent-representation-for-subspace-segmentation
Subspace-clustering-via-structured-sparse-relation-representation
data, code and algorithms
weilyshmtu's Repositories
weilyshmtu/Subspace-clustering-via-structured-sparse-relation-representation
data, code and algorithms
weilyshmtu/Learning-idempotent-representation-for-subspace-segmentation
weilyshmtu/AGCSC
weilyshmtu/awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
weilyshmtu/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
weilyshmtu/awesome-graph-representation-learning
A curated list for awesome graph representation learning resources.
weilyshmtu/awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
weilyshmtu/Cost-sensitive-sparse-subset-selection
weilyshmtu/DeepClustering
Methods and Implements of Deep Clustering
weilyshmtu/GNNPapers
Must-read papers on graph neural networks (GNN)
weilyshmtu/Latent-block-diagonal-representation-
weilyshmtu/Multi-view-Datasets
Multi-view datasets for classification or clustering
weilyshmtu/multiview_learning
weilyshmtu/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
weilyshmtu/SCHAGF
weilyshmtu/weilyshmtu.github.io