Pinned Repositories
ABCDHypergraphGenerator.jl
Artificial Benchmark for Hypergraphs Community Detection (ABCDH)
advancedDM
AI51401_Big Data Analysis
alphacore
The alphaCore algorithm based on data depth
anchoredKcore
The code is for the OLAK algorithm, published in the paper "OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks", Fan Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Xuemin Lin, PVLDB 2017
AutomaticKeyphraseExtraction
Data for Automatic Keyphrase Extraction Task
CCSS
CCSS: Towards Conductance-based Community Search with Size Constraints, which is published in ESWA 2024
CMS_CD
collapsedKcore
anchoredKcore The code is for the CKC algorithm, published in the paper "Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem" Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, AAAI 2017
CSDJ
Eficient-Size-Bounded-Community-Search-over-Large-Networks
创新实践复现
dahee-e's Repositories
dahee-e/ABCDHypergraphGenerator.jl
Artificial Benchmark for Hypergraphs Community Detection (ABCDH)
dahee-e/advancedDM
AI51401_Big Data Analysis
dahee-e/alphacore
The alphaCore algorithm based on data depth
dahee-e/anchoredKcore
The code is for the OLAK algorithm, published in the paper "OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks", Fan Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Xuemin Lin, PVLDB 2017
dahee-e/AutomaticKeyphraseExtraction
Data for Automatic Keyphrase Extraction Task
dahee-e/CCSS
CCSS: Towards Conductance-based Community Search with Size Constraints, which is published in ESWA 2024
dahee-e/CMS_CD
dahee-e/collapsedKcore
anchoredKcore The code is for the CKC algorithm, published in the paper "Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem" Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin, AAAI 2017
dahee-e/CSDJ
dahee-e/Eficient-Size-Bounded-Community-Search-over-Large-Networks
创新实践复现
dahee-e/EMNLP_2016
dahee-e/GCN-DrugInteractions
Drug-drug Interaction prediction module
dahee-e/gowpy
A very simple library for exploiting graph-of-words in NLP
dahee-e/HGoW
dahee-e/icdm20-hyperff
dahee-e/kd-core
Official repository of the PVLDB 2023 paper: Neighborhood-based Hypergraph core decomposition
dahee-e/kgcore
dahee-e/GNN_louvain
dahee-e/Hyperwalk
embeddings for hyperedges in a hypergraph
dahee-e/kgcore_full
dahee-e/PPI_GNN
dahee-e/PyCon-Canada-2019-NLP-Tutorial
dahee-e/Python-GCNMK
Predicting potential drug-drug interactions.
dahee-e/pythonProject9
dahee-e/RSSP
A Linear Delay Linear Space Algorithm for Enumeration of All Connected Induced Subgraphs
dahee-e/Size-Bounded-Search_efficient
dahee-e/STCS
This is the source code of our TKDE submission “Size-constrained Community Search on Large Graphs: An Effective and Efficient Solution”.
dahee-e/TIP
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
dahee-e/TransZero
Official github repository for the paper "Efficient Unsupervised Community Search with Pre-trained Graph Transformer"
dahee-e/VLDB_SC-BRB-Recurrence-Large-Networks
I tried to reproduce it locally while reading the VLDB2021 paper "Efficient Size-Bounded Community Search over Large Networks". After trying the query results, I randomly picked out one of the optimal communities that met the conditions. The running time of a single query was less than 500ms. Suitable for end-users