-
Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned
Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, and Keshav Pingali
Graph mining
LiMass
-
efficient maximum clique computation and enumeration over large sparse graphs
Lijun Chang
Graph mining
Cliques
-
New faster Kernighan-Lin-type graph-partitioning algorithms
Shantanu Dutt
Graph mining, Graph algorithmics
ICCAD1993
-
Unraveling Protein Networks with Power Graph Analysis
Loicc Royer, Matthias Reimann, Bill Andreopoulos, Michael Schroeder
Graph mining, Computational biology
PLOS
-
Modularité asymptotique de quelques classes de graphes
Fabien de Montgolfier, Mauricio Soto, Laurent Viennot
Graph mining, Graph algorithmics
modularity, in French
-
Local Graph Partitioning using PageRank Vectors
Reid Andersen, Fan Chung, Kevin Lang
Graph mining, Graph algorithmics
FOCS06, conductance, page rank
-
KClist++: A Simple Algorithm for Finding k-Clique DensestSubgraphs in Large Graphs
Maximilien Danisch, T-H. Hubert Chan, Mauro Sozio, Bintao Sun
Graph mining, Graph algorithmics
VLDB2020
-
Ordering Heuristics for k-clique Listing
Jeffrey Xu Yu, Rong-Hua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang
Graph mining
VLDB2020
-
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson
Graph mining, Cyber security, Machine Learning, Data Analysis
bitcoins, learning, detection, aml, KDD2019
-
Finding Heaviest k -Subgraphs and Events in Social Media
Maximilien Danisch, Mauro Sozio, Matthaios Letsios, Oana Denisa Balalau, Emmanuel Orsini
Graph mining
Real-world graphs, Densest-k-Subgraph, Branch and bound
-
NetLSD: Hearing the Shape of a Graph
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller, Alex Bronstein
Graph mining
KDD2018
-
Finding events in temporal networks: Segmentation meets densest-subgraph discovery
Mauro Sozio, Aristides Gionis, Polina Rozenshtein, Francesco Bonchi, Nikolaj Tatti
Graph mining
ICDM2018
-
PageRank as a Function of the Damping Factor
Paolo Boldi, Sebastiano Vigna, Massimo Santini
Graph mining
WWW2005
-
RolX: Structural Role Extraction & Mining in Large Graphs
Keith Henderson, Brian Gallagher
Graph mining, graph theory, matrix decomposition
Social network
-
Capturing Edge Attributes via Network Embedding
Palash Goyal, Emilio Ferrara, Homa Hosseinmardi, Aram Galstyan
Graph mining, network embedding
edge attributes, joint node embedding
-
Signed Networks in Social Media
Jure Leskovec, Jon Kleinberg, Daniel Huttenlocher
Graph mining, Social networks
Signed social network
-
A Survey of Signed Network Mining in Social Media
Jiliang Tang, Charu Aggarwal, Yi Chang, Huan Liu
Graph mining, Social networks
survey, Signed network
-
SNE: Signed Network Embedding
Shuhan Yuan, Xintao Wu, and Yang Xiang
Graph mining, Social networks, Representation learning
Signed social network embedding
-
ESCAPE: Efficiently Counting All 5-Vertex Subgraphs
Ali Pinar
Graph mining
WWW2017
-
The Community-search Problem and How to Plan a Successful Cocktail Party
Mauro Sozio, Aristides Gionis
Graph mining
KDD2010
-
Influence maximization in complex networks through optimal percolation
Flaviano Morone, Hernan A. Makse
Graph mining
Nature
-
Representation Learning on Graphs: Methods and Applications
Jure Leskovec, William L. Hamilton, Rex Ying
Graph mining
Graph Layout
-
LINE: Large-scale Information Network Embeddin
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
Graph mining
Graph Layout
-
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal, Emilio Ferrara
Graph mining
survey
-
Hierarchical Clustering Beyond the Worst-Case
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn
Graph mining
graph clustering
-
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
Mathieu Jacomy, Tommaso Venturini, Sebastien Heymann, Mathieu Bastian
Graph mining
Graph Layout
-
The k-peak Decomposition: Mapping the Global Structure of Graphs
Priya Govindan
Graph mining
WWW2017
-
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors
Aneesh Sharma
Graph mining
WWW2017
-
Scalable Motif-aware Graph Clustering
Charalampos E. Tsourakakis
Graph mining
WWW2017
-
Graph Data Mining with Arabesque
Eslam Hussein
Graph mining
graph, SIGMOD2017
-
Large Scale Density-friendly Graph Decomposition via Convex Programming
Maximilien Danisch, T-H. Hubert Chan, Mauro Sozio
Graph mining
Real-world graphs, Density friendly, Densest subgraph, Frank-Wolfe algorithm
-
Indexing Public-Private Graphs
Aaron Archer
Graph mining
WWW2017
-
A Modular Overlapping Community Detection Algorithm: Investigating the “From Local to Global” Approach
Maximilien Danisch, Noé Gaumont, Jean-Loup Guillaume
Graph mining
community detection, Real-world graph algorithmics
-
A Fast and Provable Method for Estimating Clique Counts Using Turán’s Theorem
Shweta Jain, C. Seshadhri
Graph mining
WWW2017
-
Correlation Clustering with Low-Rank Matrices
Nate Veldt
Graph mining
WWW2017