Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach | Paper Citation Record

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This paper cites Local graph partitioning using pagerank vectors.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Local graph partitioning using pagerank vectors

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach A local updating algorithm for personal- ized pagerank via chebyshev polynomials

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Scaling graph neural networks with approximate pagerank

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This paper cites Is pagerank all you need for scalable graph neural networks.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Is pagerank all you need for scalable graph neural networks

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This paper cites Sublinear time spectral density estimation.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Sublinear time spectral density estimation

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This paper cites Accel- erating personalized pagerank vector computation.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Accel- erating personalized pagerank vector computation

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This paper cites The heat kernel as the pagerank of a graph.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach The heat kernel as the pagerank of a graph

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This paper cites Concentration inequalities and martingale inequali- ties: a survey.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Concentration inequalities and martingale inequali- ties: a survey

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This paper cites Computing heat kernel pagerank and a local clustering algorithm.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Computing heat kernel pagerank and a local clustering algorithm

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This paper cites A note on the summation of chebyshev series.Mathematics of Computation, 9(51), 1955.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach A note on the summation of chebyshev series.Mathematics of Computation, 9(51), 1955

Reference 10

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This paper cites Efficient processing of network proximity queries via chebyshev acceleration.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Efficient processing of network proximity queries via chebyshev acceleration

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This paper cites Indexed fast network proximity querying.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Indexed fast network proximity querying

Reference 12

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This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Convolutional neural networks on graphs with fast localized spectral filtering

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This paper cites Pagerank for ranking authors in co-citation networks.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Pagerank for ranking authors in co-citation networks

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This paper cites Predict then Propagate: Graph Neural Networks meet Personalized PageRank.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Predict then Propagate: Graph Neural Networks meet Personalized PageRank

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This paper cites Diffusion improves graph learning.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Diffusion improves graph learning

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This paper cites Golub and Charles F.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Golub and Charles F

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This paper cites Subset node representation learning over large dynamic graphs.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Subset node representation learning over large dynamic graphs

Reference 18

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This paper cites Convolutional neural networks on graphs with chebyshev approximation, revisited.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Convolutional neural networks on graphs with chebyshev approximation, revisited

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This paper cites CCSS: towards conductance-based community search with size constraints.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach CCSS: towards conductance-based community search with size constraints

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This paper cites Heat kernel based community detection.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Heat kernel based community detection

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This paper cites Efficient personalized pagerank computation: The power of variance-reduced monte carlo approaches.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Efficient personalized pagerank computation: The power of variance-reduced monte carlo approaches

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Efficient person- alized pagerank computation: A spanning forests sampling based approach

Reference 23

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This paper cites Index- free approach with theoretical guarantee for efficient random walk with restart query.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Index- free approach with theoretical guarantee for efficient random walk with restart query

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This paper cites Scalable and effective conductance-based graph clustering.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Scalable and effective conductance-based graph clustering

Reference 25

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This paper cites QTCS: efficient query-centered temporal community search.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach QTCS: efficient query-centered temporal community search

Reference 26

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This paper cites Personalized pagerank estimation and search: A bidirectional approach.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Personalized pagerank estimation and search: A bidirectional approach

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This paper cites Personalized PageRank to a Target Node.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Personalized PageRank to a Target Node

Reference 28

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Chebyshev polynomials

Reference 29

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Stability of the lanczos method for matrix function approximation

Reference 30

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This paper cites Bessel functions., 2010.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Bessel functions., 2010

Reference 31

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This paper cites The pagerank citation ranking: Bringing order to the web.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach The pagerank citation ranking: Bringing order to the web

Reference 32

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Faster algorithms via approximation theory

Reference 33

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Chebyshev polyno- mial approximation for distributed signal processing

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This paper cites Distributed signal processing via chebyshev polynomial approximation.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Distributed signal processing via chebyshev polynomial approximation

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Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Verse: Versatile graph embeddings from similarity measures

Reference 36

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This paper cites Approximate graph propagation.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Approximate graph propagation

Reference 37

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This paper cites Estimating single-node pagerank in o (mindt,√𝑚) time.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Estimating single-node pagerank in o (mindt,√𝑚) time

Reference 38

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This paper cites Per- sonalized pagerank to a target node, revisited.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Per- sonalized pagerank to a target node, revisited

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This paper cites Edge-based Local Push for Personalized PageRank.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Edge-based Local Push for Personalized PageRank

Reference 40

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This paper cites Fora: simple and effective approximate single-source personalized pagerank.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Fora: simple and effective approximate single-source personalized pagerank

Reference 41

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This paper cites Topppr: top-k personalized pagerank queries with precision guarantees on large graphs.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Topppr: top-k personalized pagerank queries with precision guarantees on large graphs

Reference 42

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This paper cites Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Approximating Single-Source Personalized PageRank with Absolute Error Guarantees

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This paper cites Simplifying graph convolutional networks.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Simplifying graph convolutional networks

Reference 44

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This paper cites Unifying the global and local approaches: an efficient power iteration with forward push.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Unifying the global and local approaches: an efficient power iteration with forward push

Reference 45

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This paper cites Efficient algorithms for personalized pagerank computation: A survey.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Efficient algorithms for personalized pagerank computation: A survey

Reference 46

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This paper cites Efficient estimation of heat kernel pagerank for local clustering.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Efficient estimation of heat kernel pagerank for local clustering

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This paper cites Chebyshev meets push: Efficient and provable graph propagation computation.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Chebyshev meets push: Efficient and provable graph propagation computation

Reference 48

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This paper cites GSD-GNN: generalizable and scalable algorithms for decoupled graph neural networks.

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach GSD-GNN: generalizable and scalable algorithms for decoupled graph neural networks

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