Overview of the 2003 KDD Cup

By Johannes Gehrke, Paul H. Ginsparg, Jon M. Kleinberg. 2003

324 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Jure Leskovec
2. Michael W. Mahoney
3. Christos Faloutsos
4. Lars Backstrom
5. Deepayan Chakrabarti
6. Jon M. Kleinberg
7. Kevin J. Lang
8. Palash Goyal

In Information Systems

1. Jure Leskovec
2. Christos Faloutsos
3. Deepayan Chakrabarti
4. Jon M. Kleinberg
5. Zoubin Ghahramani
6. Lars Backstrom
7. Emilio Ferrara
8. Palash Goyal

In Statistical and Nonlinear Physics

1. Jure Leskovec
2. Jon M. Kleinberg
3. Christos Faloutsos
4. Michael W. Mahoney
5. Kevin J. Lang
6. Lars Backstrom
7. Deepayan Chakrabarti
8. Manuel Gomez-Rodriguez

Citations in the corpus

• Supervised random walks: predicting and recommending links in social networks (2010, methodology): “First we consider the co-authorship networks from arXiv e-print archive [12] where we have a time-stamped list of all papers with author names and titles submitted to arXiv during 1992 and 2002.”
• Graphs over time: densification laws, shrinking diameters and possible explanations (2005, methodology): “We first investigate a citation graph provided as part of the 2003 KDD Cup [12].”
• Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (2019, methodology): “[78] created a dataset of arxiv papers in High Energy Physics Theory conference from January 1993 to April 2003.”
• Kronecker Graphs: An Approach to Modeling Networks (2008, methodology): “…citation network (1 year of data) (Leskovec etal., 2007b) CIT-HEP-PH 30,567 348,721 34,401 1.13 0.3 14 4.33 Citation network of ArXivhep-th papers (Gehrke et al., 2003) CIT-HEP-TH 27,770 352,807 27,400 0.99 0.33 15 4.2 Citations network of ArXivhep-ph papers (Gehrke et al., 2003) Collaboration…”
• Embedding Networks with Edge Attributes (2018, background): “Other types of network include author collaboration network [8], router network [3] and language networks [14].”
• Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters (2008, unknown): “33 Citations between physics (arxiv hep-th) papers [78] Cit-hep-th 27,400 352,021 0.”
• Statistical properties of community structure in large social and information networks (2008, background): “Cit-hep-th 27,400 352,021 Arxiv hep-th [14] AmazonProd 524,371 1,491,793 Amazon products [8] • Web graphs”
• The science of science: from the perspective of complex systems (2017, background): “on the SPIRES NCSTRL 11994 ⇠21600 1995–1999 [37,38] undirected and weighted collaboration network on the NCSTRL MEDLINE 1520251 ⇠13760000 1995–1999 [35] undirected and weighted collaboration network on the MEDLINE cit-HepPh 34546 421578 1993–2003 [39,40] (link) directed Arxiv HEP-PH (high energy phy”
• DynGEM: Deep Embedding Method for Dynamic Graphs (2018, methodology): “HEP-TH [ Gehrke et al. , 2003 ] : The original dataset contains abstracts of paper in High Energy Physics Theory conference in the period from January 1993 to April 2003.”
• Image-to-Markup Generation with Coarse-to-Fine Attention (2016, methodology): “We extract formulas by parsing LaTeX sources of papers from tasks I and II of the 2003 KDD cup (Gehrke et al., 2003), which contain over 60,000 papers.”
• Scalable Inference of Overlapping Communities (2012, unknown): “3d CITE [23],[24] ENRON 37K 158 0.”