… randomized local partitioning algorithms that find sparse cuts by simulating the volume-biased
evolving … Moreover, to evaluate the convergence of local algorithms, we randomly select …

… are making it impractical for graph pattern matching (GPM) in the … However, massive graphs
generated by mostly social … by adopting new paradigms of big graphs processing, eg, Think-…

… random walk), and u ∈ R n is the stochastic vector. Note that, the order of data is different from
the order of Markov Chain (random … process of random walks on graphs and then conduct …

… We either sorted the insertions by their timestamps (if they exist) or randomly ordered them
(… the compression ratio while each input graph stream evolved over time. For batch algorithms…

… ) labeled graphs, respectively, and when operating on a massive … when handling massive
graphs and complex patterns. … In spite of the random nature of R-MAT generation, we see …

… involves reading and analyzing a massive volume of trans… been studies in detecting anomalies
on timeevolving graphs [9], [10]… D of bipartite graphs have been randomly selected with a …

… In addition, the results also implied that the G-UMN of a fast-developing city is undergoing
an evolving hierarchically polycentric structure, in which it is developing from a random …

… In this paper, we aim to generate topic evolutionary graphs … as weighted Conditional random
field regularized Correlated … texts posed by the massive online corpus become fundamental …

… evolving, online, and dynamic graphs, as well as the differences between graph streaming
frameworks and a related class of graph … based on random accesses into the graph data). …

… graph 𝐺, a source vertex 𝑠, and a decay factor 𝛼, a random walk (more precise, a random
walk with restart [11]) from 𝑠 is a random … the PPR problem for massive graphs. In particular, …