
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Many representative graph neural networks, e.g., GPRGNN and ChebyNet, a...
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Graph Neural Networks Inspired by Classical Iterative Algorithms
Despite the recent success of graph neural networks (GNN), common archit...
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FlashP: An Analytical Pipeline for Realtime Forecasting of TimeSeries Relational Data
Interactive response time is important in analytical pipelines for users...
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Simple and Deep Graph Convolutional Networks
Graph convolutional networks (GCNs) are a powerful deep learning approac...
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Personalized PageRank to a Target Node, Revisited
Personalized PageRank (PPR) is a widely used node proximity measure in g...
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Efficient Algorithms for Approximate SingleSource Personalized PageRank Queries
Given a graph G, a source node s and a target node t, the personalized P...
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Scalable Graph Embeddings via Sparse Transpose Proximities
Graph embedding learns lowdimensional representations for nodes in a gr...
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PRSim: Sublinear Time SimRank Computation on Large PowerLaw Graphs
SimRank is a classic measure of the similarities of nodes in a graph. G...
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Efficient Estimation of Heat Kernel PageRank for Local Clustering
Given an undirected graph G and a seed node s, the local clustering prob...
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ProbeSim: Scalable SingleSource and Topk SimRank Computations on Dynamic Graphs
Singlesource and topk SimRank queries are two important types of simil...
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Zhewei Wei
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