DeepWalking Backwards:
From Node Embeddings Back to Graphs
Sudhanshu Chanpuriya 1 Cameron Musco 1
Konstantinos Sotiropoulos 2 Charalampos E. Tsourakakis 2 3
Abstract Saul, 2000) use spectral embeddings derived for the graph
Laplacian, adjacency matrix, or their variants. Recently,
Low-dimensional node embeddings play a key
neural-network and random-walk- ...


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