一些图计算的资料：
(1) Graph analytics, e.g., PageRank, SSSP, BFS, betweenness centrality. They are know as vertex programs;
(2) Graph pattern mining (GPM), e.g., k-clique listing, motif counting, graph querying, frequent subgraph mining;
(3) Graph machine learning (GML), e.g., graph embedding, graph neural networks, for node/graph classification, link prediction, etc.;
(4) Graph sampling, e.g., random walk, neighbor sampling, subgraph sampling, layer-wise sampling, etc.
(5) Graph manipulation: graph construction, clustering, partitioning, coarsening, and streaming/dynamic graphs
https://github.com/chenxuhao/ReadingList/tree/master#graph-learning-algorithms
Papers on Graph Analytics
https://people.csail.mit.edu/jshun/graph.shtml#structure
