InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity

29 May 2020

Papers citing "InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity"

10 / 10 papers shown

Title
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 38 0 0 22 Jul 2024
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction Amur Ghose Vincent Zhang Yingxue Zhang Dong Li Wulong Liu Mark J. Coates 48 27 0 10 Nov 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 21 49 0 24 Oct 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 13 5 0 09 Jun 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 28 46 0 19 May 2021
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 39 13 0 17 Feb 2021
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 16 13 0 15 Jun 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 27 33 0 10 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 36 32 0 08 Jun 2020