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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

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

emnlp_2016

gcn-druginteractions

Drug-drug Interaction prediction module

gowpy

A very simple library for exploiting graph-of-words in NLP

hgow

hyperwalk

embeddings for hyperedges in a hypergraph

icdm20-hyperff

kd-core

Official repository of the PVLDB 2023 paper: Neighborhood-based Hypergraph core decomposition

kgcore

ppi_gnn

pycon-canada-2019-nlp-tutorial

python-gcnmk

Predicting potential drug-drug interactions.

pythonproject9

rssp

A Linear Delay Linear Space Algorithm for Enumeration of All Connected Induced Subgraphs

size-bounded-search_efficient

stcs

This is the source code of our TKDE submission “Size-constrained Community Search on Large Graphs: An Effective and Efficient Solution”.

tip

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)

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