-
1
-
-
79956316709
-
Oddball: Spotting anomalies in weighted graphs
-
L. Akoglu, M. McGlohon, and C. Faloutsos. Oddball: Spotting anomalies in weighted graphs. In PAKDD, pages 410-421, 2010.
-
(2010)
PAKDD
, pp. 410-421
-
-
Akoglu, L.1
Mcglohon, M.2
Faloutsos, C.3
-
2
-
-
0033539175
-
Diameter of the world wide web
-
R. Albert, H. Jeong, and A.-L. Barabasi. Diameter of the world wide web. Nature, (401):130-131, 1999.
-
(1999)
Nature
, Issue.401
, pp. 130-131
-
-
Albert, R.1
Jeong, H.2
Barabasi, A.-L.3
-
3
-
-
0342521525
-
Scale-free characteristics of random networks: The topology of the world-wide web
-
A.-L. Barabasi, R. Albert, and H. Jeong. Scale-free characteristics of random networks: the topology of the world-wide web. Physica A: Statistical Mechanics and its Applications, 281(1-4):69 - 77, 2000.
-
(2000)
Physica A: Statistical Mechanics and its Applications
, vol.281
, Issue.1-4
, pp. 69-77
-
-
Barabasi, A.-L.1
Albert, R.2
Jeong, H.3
-
4
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, 2007.
-
(2007)
ACL
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
5
-
-
32344433867
-
R-MAT: A recursive model for graph mining
-
Apr
-
D. Chakrabarti, Y. Zhan, and C. Faloutsos. R-MAT: A recursive model for graph mining. In SDM, Apr. 2004.
-
(2004)
SDM
-
-
Chakrabarti, D.1
Zhan, Y.2
Faloutsos, C.3
-
6
-
-
34547972773
-
Boosting for transfer learning
-
W. Dai, Q. Yang, G.-R. Xue, and Y. Yu. Boosting for transfer learning. In ICML, pages 193-200, 2007.
-
(2007)
ICML
, pp. 193-200
-
-
Dai, W.1
Yang, Q.2
Xue, G.-R.3
Yu, Y.4
-
7
-
-
0033204106
-
On power-law relationships of the Internet topology
-
DOI 10.1145/316194.316229
-
M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the internet topology. SIGCOMM, pages 251-262, Aug-Sept. 1999. (Pubitemid 32081870)
-
(1999)
Computer Communication Review
, vol.29
, Issue.4
, pp. 251-262
-
-
Faloutsos, M.1
Faloutsos, P.2
Faloutsos, C.3
-
8
-
-
70349251904
-
Structure feature selection for graph classification
-
H. Fei and J. Huan. Structure feature selection for graph classification. In CIKM, pages 991-1000, 2008.
-
(2008)
CIKM
, pp. 991-1000
-
-
Fei, H.1
Huan, J.2
-
9
-
-
0036497195
-
Self-organization and identification of web communities
-
Mar
-
G. Flake, S. Lawrence, C. L. Giles, and F. Coetzee. Self-organization and identification of web communities. IEEE Computer, 35(3), Mar. 2002.
-
(2002)
IEEE Computer
, vol.35
, Issue.3
-
-
Flake, G.1
Lawrence, S.2
Giles, C.L.3
Coetzee, F.4
-
10
-
-
78650094757
-
Leveraging label-independent features for classification in sparsely labeled networks: An empirical study
-
B. Gallagher and T. Eliassi-Rad. Leveraging label-independent features for classification in sparsely labeled networks: An empirical study. Lecture Notes in Computer Science, 5498:1-19, 2010.
-
(2010)
Lecture Notes in Computer Science
, vol.5498
, pp. 1-19
-
-
Gallagher, B.1
Eliassi-Rad, T.2
-
11
-
-
65449133627
-
Using ghost edges for classification in sparsely labeled networks
-
B. Gallagher, H. Tong, T. Eliassi-Rad, and C. Faloutsos. Using ghost edges for classification in sparsely labeled networks. In KDD, pages 256-264, 2008.
-
(2008)
KDD
, pp. 256-264
-
-
Gallagher, B.1
Tong, H.2
Eliassi-Rad, T.3
Faloutsos, C.4
-
12
-
-
65449181688
-
Knowledge transfer via multiple model local structure mapping
-
J. Gao, W. Fan, J. Jiang, and J. Han. Knowledge transfer via multiple model local structure mapping. In KDD, pages 283-291, 2008.
-
(2008)
KDD
, pp. 283-291
-
-
Gao, J.1
Fan, W.2
Jiang, J.3
Han, J.4
-
14
-
-
0037062448
-
Community structure in social and biological networks
-
M. Girvan and M. E. J. Newman. Community structure in social and biological networks. PNAS, 99:7821, 2002.
-
(2002)
PNAS
, vol.99
, pp. 7821
-
-
Girvan, M.1
Newman, M.E.J.2
-
15
-
-
74549211339
-
Graph-based transfer learning
-
J. He, Y. Liu, and R. D. Lawrence. Graph-based transfer learning. In CIKM, pages 937-946, 2009.
-
(2009)
CIKM
, pp. 937-946
-
-
He, J.1
Liu, Y.2
Lawrence, R.D.3
-
16
-
-
77956201937
-
Metric forensics: A multi-level approach for mining volatile graphs
-
K. Henderson, T. Eliassi-Rad, C. Faloutsos, L. Akoglu, L. Li, K. Maruhashi, B. A. Prakash, and H. Tong. Metric forensics: a multi-level approach for mining volatile graphs. In KDD, pages 163-172, 2010.
-
(2010)
KDD
, pp. 163-172
-
-
Henderson, K.1
Eliassi-Rad, T.2
Faloutsos, C.3
Akoglu, L.4
Li, L.5
Maruhashi, K.6
Prakash, B.A.7
Tong, H.8
-
17
-
-
84899841718
-
The Web as a graph: Measurements, models and methods
-
J. M. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan, and A. S. Tomkins. The Web as a graph: Measurements, models and methods. Lecture Notes in Computer Science, 1627:1-17, 1999.
-
(1999)
Lecture Notes in Computer Science
, vol.1627
, pp. 1-17
-
-
Kleinberg, J.M.1
Kumar, R.2
Raghavan, P.3
Rajagopalan, S.4
Tomkins, A.S.5
-
18
-
-
79951738010
-
Multi-label feature selection for graph classification
-
X. Kong and P. S. Yu. Multi-label feature selection for graph classification. In ICDM, pages 274-283, 2010.
-
(2010)
ICDM
, pp. 274-283
-
-
Kong, X.1
Yu, P.S.2
-
19
-
-
34547989609
-
Learning a meta-level prior for feature relevance from multiple related tasks
-
S.-I. Lee, V. Chatalbashev, D. Vickrey, and D. Koller. Learning a meta-level prior for feature relevance from multiple related tasks. In ICML, pages 489-496, 2007.
-
(2007)
ICML
, pp. 489-496
-
-
Lee, S.-I.1
Chatalbashev, V.2
Vickrey, D.3
Koller, D.4
-
20
-
-
32344436210
-
Graphs over time: Densification laws, shrinking diameters and possible explanations
-
DOI 10.1145/1081870.1081893, KDD-2005 - Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
J. Leskovec, J. Kleinberg, and C. Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations. In KDD, pages 177-187, 2005. (Pubitemid 43218279)
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 177-187
-
-
Leskovec, J.1
Kleinberg, J.2
Faloutsos, C.3
-
21
-
-
77956192510
-
New perspectives and methods in link prediction
-
R. N. Lichtenwalter, J. T. Lussier, and N. V. Chawla. New perspectives and methods in link prediction. In KDD, pages 243-252, 2010.
-
(2010)
KDD
, pp. 243-252
-
-
Lichtenwalter, R.N.1
Lussier, J.T.2
Chawla, N.V.3
-
22
-
-
84880122671
-
Mining behavior graphs for "backtrace" of noncrashing bugs
-
C. Liu, X. Yan, H. Yu, J. Han, and P. S. Yu. Mining behavior graphs for "backtrace" of noncrashing bugs. In SDM, 2005.
-
(2005)
SDM
-
-
Liu, C.1
Yan, X.2
Yu, H.3
Han, J.4
Yu, P.S.5
-
24
-
-
24744469980
-
Power laws, Pareto distributions and Zipf's law
-
DOI 10.1080/00107510500052444
-
M. E. J. Newman. Power laws, Pareto distributions and Zipf's law. Contemporary Physics, 46:323-351, 2005. (Pubitemid 41335662)
-
(2005)
Contemporary Physics
, vol.46
, Issue.5
, pp. 323-351
-
-
Newman, M.E.J.1
-
25
-
-
79952412572
-
Cross lingual text classification by mining multilingual topics from wikipedia
-
X. Ni, J.-T. Sun, J. Hu, and Z. Chen. Cross lingual text classification by mining multilingual topics from wikipedia. In WSDM, pages 375-384, 2011.
-
(2011)
WSDM
, pp. 375-384
-
-
Ni, X.1
Sun, J.-T.2
Hu, J.3
Chen, Z.4
-
26
-
-
12244268431
-
Graph-based anomaly detection
-
C. C. Noble and D. J. Cook. Graph-based anomaly detection. In KDD, pages 631-636, 2003.
-
(2003)
KDD
, pp. 631-636
-
-
Noble, C.C.1
Cook, D.J.2
-
27
-
-
79951739872
-
On the vulnerability of large graphs
-
H. Tong, B. A. Prakash, C. E. Tsourakakis, T. Eliassi-Rad, C. Faloutsos, and D. H. Chau. On the vulnerability of large graphs. In ICDM, pages 1091-1096, 2010.
-
(2010)
ICDM
, pp. 1091-1096
-
-
Tong, H.1
Prakash, B.A.2
Tsourakakis, C.E.3
Eliassi-Rad, T.4
Faloutsos, C.5
Chau, D.H.6
-
28
-
-
33748902345
-
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
-
San Francisco, CA, USA
-
I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2005.
-
(2005)
Morgan Kaufmann Publishers Inc.
-
-
Witten, I.H.1
Frank, E.2
-
29
-
-
80052662958
-
Collective cross-document relation extraction without labelled data
-
L. Yao, S. Riedel, and A. McCallum. Collective cross-document relation extraction without labelled data. In EMNLP, pages 1013-1023, 2010.
-
(2010)
EMNLP
, pp. 1013-1023
-
-
Yao, L.1
Riedel, S.2
McCallum, A.3
-
30
-
-
79951845184
-
Learning multiple related tasks using latent independent component analysis
-
J. Zhang, Z. Ghahramani, and Y. Yang. Learning multiple related tasks using latent independent component analysis. In NIPS, 2005.
-
(2005)
NIPS
-
-
Zhang, J.1
Ghahramani, Z.2
Yang, Y.3
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