References
Bibliography for the STRATA Paper
← Home
← Back to Home
AORM Family
[1]
S.-S. Kim, Y.-K. Kim, Y.-M. Kang —
AORM: Fast Incremental Arbitrary-Order Reachability Matrix Computation for Massive Graphs
— IEEE Access, 2021
[2]
S.-S. Kim, Y.-M. Kang, Y.-K. Kim —
Sparsity-Aware Reachability Computation for Massive Graphs
— IEEE BigComp, 2022
[3]
S.-S. Kim, M. Chung —
Fast Graph Learning for Traffic Prediction
— IEEE Big Data, 2023
Applications
[4]
S.-S. Kim et al. —
Urban Traffic Prediction Using Congestion Diffusion Model
— IEEE ICCE-Asia, 2020
[5]
A. Kapoor et al. —
COVID-19 Forecasting Using Spatio-Temporal GNN
— arXiv, 2020
[6]
Z. Zhang et al. —
Arbitrary-Order Proximity Preserved Network Embedding
— KDD, 2018
[7]
M. E. J. Newman —
Modularity and Community Structure in Networks
— PNAS, 2006
APSP Algorithms
[8]
R. W. Floyd —
Algorithm 97: Shortest Path
— Commun. ACM, 1962
[9]
R. Seidel —
On the All-Pairs-Shortest-Path Problem
— JCSS, 1995
[10-13]
GraphBLAS, LAGraph, Boolean SpGEMM, Bit-packing
[14-17]
GPU BFS, Delta-stepping, cuGraph, Gunrock
GNN and Positional Encoding
[18]
V. P. Dwivedi, X. Bresson —
Laplacian Positional Encoding
— AAAI-W, 2021
[19]
V. P. Dwivedi et al. —
Random Walk Positional Encoding (RWPE)
— ICLR, 2022
[22]
L. Rampášek et al. —
GraphGPS
— NeurIPS, 2022
[25-26]
Over-squashing (Topping, Di Giovanni)
Dynamic Graphs
[30-32]
Dynamic SSSP/Reachability (van den Brand, Bernstein)
[33]
J. You et al. —
ROLAND: Graph Learning for Dynamic Graphs
— KDD, 2022
[34-35]
DyGFormer, TGB
Network Science
[37]
A.-L. Barabási, R. Albert —
Emergence of Scaling in Random Networks
— Science, 1999
[38]
L. Backstrom et al. —
Four Degrees of Separation
— ACM WebSci, 2012
[39]
J. Leskovec, A. Krevl —
SNAP Datasets
— Stanford, 2014