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Graph embeddings 1988: Recent breakthroughs, new directions

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02579202openalex-snapshot
Expanding graphs contain all small trees
inferredcites →https://doi.org/10.1016/0095-8956(79)90021-2openalex-snapshot
The book thickness of a graph
inferredcites →https://doi.org/10.1109/sfcs.1986.38openalex-snapshot
Optimal simulations of tree machines
inferredcites →https://doi.org/10.1109/sfcs.1988.21963openalex-snapshot
Take a walk, grow a tree
inferredcites →https://doi.org/10.1109/tc.1983.1676134openalex-snapshot
The Diogenes Approach to Testable Fault-Tolerant Arrays of Processors
inferredcites →https://doi.org/10.1109/tc.1985.1676584openalex-snapshot
Wafer-Scale Integration of Systolic Arrays
inferredcites →https://doi.org/10.1137/0608002openalex-snapshot
Embedding Graphs in Books: A Layout Problem with Applications to VLSI Design
inferredcites →https://doi.org/10.1137/0608018openalex-snapshot
Embedding Outerplanar Graphs in Small Books
inferredcites →https://doi.org/10.1145/12130.12141openalex-snapshot
Four pages are necessary and sufficient for planar graphs
inferredcites →https://doi.org/10.1145/1634.2377openalex-snapshot
Configuration of VLSI Arrays in the Presence of Defects
inferredcites →https://doi.org/10.1145/2157.322401openalex-snapshot
Cost Trade-offs in Graph Embeddings, with Applications
inferredcites →https://doi.org/10.1145/28395.28425openalex-snapshot
Reconfiguring a hypercube in the presence of faults
inferredcites →https://doi.org/10.1145/28395.28437openalex-snapshot
The page number of genus g graphs is (g)
inferredcites →https://doi.org/10.1145/358645.358660openalex-snapshot
The cube-connected cycles: a versatile network for parallel computation
inferredcites →https://doi.org/10.1145/44483.44489openalex-snapshot
The physical mapping problem for parallel architectures
inferredcites →https://doi.org/10.1145/62212.62229openalex-snapshot
Optimal simulations by Butterfly Networks
inferredcites →https://doi.org/10.21236/ada200780openalex-snapshot
Optimal Simulations by Butterfly Networks
inferredcites →https://doi.org/10.7551/mitpress/1102.003.0015openalex-snapshot
Embedding Large Tree Machines into Small Ones

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1006/jpdc.1998.1424openalex-snapshot
Optimal Embedding of Complete Binary Trees into Lines and Grid
inferred← citeshttps://doi.org/10.1007/10692760_20openalex-snapshot
Improved Compressions of Cube-Connected Cycles Networks
inferred← citeshttps://doi.org/10.1007/3-540-53832-1_42openalex-snapshot
Embeddings of treelike graphs into 2-dimensional meshes
inferred← citeshttps://doi.org/10.1007/3-540-54945-5_46openalex-snapshot
Is the shuffle-exchange better than the butterfly?
inferred← citeshttps://doi.org/10.1007/3-540-55121-2_3openalex-snapshot
Optimal embedding of complete binary trees into lines and grids
inferred← citeshttps://doi.org/10.1007/3-540-56503-5_27openalex-snapshot
Parallel architectures: Design and efficient use
inferred← citeshttps://doi.org/10.1007/978-3-031-27051-2_15openalex-snapshot
Better Hardness Results for the Minimum Spanning Tree Congestion Problem
inferred← citeshttps://doi.org/10.1007/bf01379319openalex-snapshot
OREGAMI: Tools for mapping parallel computations to parallel architectures
inferred← citeshttps://doi.org/10.1007/s00453-024-01278-5openalex-snapshot
Better Hardness Results for the Minimum Spanning Tree Congestion Problem
inferred← citeshttps://doi.org/10.1016/0304-3975(92)90252-bopenalex-snapshot
Fast geometric approximation techniques and geometric embedding problems
inferred← citeshttps://doi.org/10.1016/j.disopt.2015.03.001openalex-snapshot
Embedding hypercubes and folded hypercubes onto Cartesian product of certain trees
inferred← citeshttps://doi.org/10.1016/s0743-7315(03)00037-6openalex-snapshot
Efficient embeddings of ternary trees into hypercubes
inferred← citeshttps://doi.org/10.1063/5.0225049openalex-snapshot
Embedding (K9 – C9) n into 2-CAT and triangular snake graph
inferred← citeshttps://doi.org/10.1109/71.539736openalex-snapshot
Parallel divide and conquer on meshes
inferred← citeshttps://doi.org/10.1109/71.706051openalex-snapshot
Improved compressions of cube-connected cycles networks
inferred← citeshttps://doi.org/10.1109/fmpc.1992.234914openalex-snapshot
Optimal implementation of parallel divide-and-conquer algorithms on de Bruijn networks
inferred← citeshttps://doi.org/10.1109/icpp.1996.537383openalex-snapshot
Edge embedding of two-dimensional grids in hypercubes with dilation two and congestion three
inferred← citeshttps://doi.org/10.1109/ipps.1992.223065openalex-snapshot
Generalized compressed tree machines
inferred← citeshttps://doi.org/10.1109/spdp.1990.143659openalex-snapshot
Compressing cube-connected cycles and butterfly networks
inferred← citeshttps://doi.org/10.1109/spdp.1992.242739openalex-snapshot
On embedding ternary trees into Boolean hypercubes
inferred← citeshttps://doi.org/10.1109/spdp.1995.530748openalex-snapshot
Bisection widths of transposition graphs
inferred← citeshttps://doi.org/10.1145/73833.73866openalex-snapshot
Fast geometric approximation techniques and geometric embedding problems
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