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1908.11512
Cited By
Fast and Accurate Network Embeddings via Very Sparse Random Projection
International Conference on Information and Knowledge Management (CIKM), 2019
30 August 2019
Haochen Chen
Syed Fahad Sultan
Yingtao Tian
Muhao Chen
Steven Skiena
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Papers citing
"Fast and Accurate Network Embeddings via Very Sparse Random Projection"
25 / 25 papers shown
Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided Search
Manil Shrestha
Edward Kim
KELM
297
0
0
24 Nov 2025
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre
Gaël Varoquaux
176
0
0
01 Jul 2025
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu
Joseph Melkonian
Weijing Tang
Han Zhao
Jiaqi W. Ma
TDI
646
3
0
25 May 2025
A Graph Based Raman Spectral Processing Technique for Exosome Classification
Conference on Artificial Intelligence in Medicine in Europe (AIME), 2025
V. M. Ngo
Edward Bolger
Stan Goodwin
John O'Sullivan
D. V. Cuong
M. Roantree
154
3
0
21 Apr 2025
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining
International Symposium on Digital Forensics and Security (ISDFS), 2025
Sam Pastoriza
Iman Yousfi
Christopher Redino
Marc Vucovich
Abdul Rahman
Sal Aguinaga
Dhruv Nandakumar
222
1
0
26 Feb 2025
Rethinking Node Representation Interpretation through Relation Coherence
Ying-Chun Lin
Jennifer Neville
Cassiano Becker
Purvanshi Metha
Nabiha Asghar
Vipul Agarwal
211
0
0
01 Nov 2024
Token-wise Influential Training Data Retrieval for Large Language Models
Huawei Lin
Jikai Long
Zhaozhuo Xu
Weijie Zhao
258
14
0
20 May 2024
Node Similarities under Random Projections: Limits and Pathological Cases
Tvrtko Tadić
Cassiano Becker
Jennifer Neville
352
1
0
15 Apr 2024
KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations
Gökberk Özsoy
Luis Salamanca
Matthew Connelly
Raymond Hicks
Fernando Pérez-Cruz
165
1
0
30 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
International Conference on Learning Representations (ICLR), 2023
Yu Wang
Tong Zhao
Yuying Zhao
Yunchao Liu
Xueqi Cheng
Neil Shah
Hanyu Wang
232
15
0
06 Oct 2023
Random Projections of Sparse Adjacency Matrices
Frank Qiu
180
0
0
04 Sep 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs
Knowledge Discovery and Data Mining (KDD), 2023
Brandon Mayer
Anton Tsitsulin
Hendrik Fichtenberger
Jonathan J. Halcrow
Bryan Perozzi
GNN
188
2
0
26 Jul 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Le-le Cao
Vilhelm von Ehrenheim
Mark Granroth-Wilding
Richard Anselmo Stahl
Andrew McCornack
Armin Catovic
Dhiana Deva Cavalcanti Rocha
368
4
0
18 Jun 2023
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks
International Conference on Computing, Networking and Communications (ICNC), 2023
Dhruv Nandakumar
Devin Quinn
Elijah Soba
Eunyoung Kim
Christopher Redino
Chris Chan
K. Choi
Abdul Rahman
Edward Bowen
168
2
0
24 May 2023
Towards a GML-Enabled Knowledge Graph Platform
IEEE International Conference on Data Engineering (ICDE), 2023
Hussein Abdallah
Essam Mansour
199
5
0
03 Mar 2023
Creating generalizable downstream graph models with random projections
Anton Amirov
Chris Quirk
Jennifer Neville
197
1
0
17 Feb 2023
Multiplex Heterogeneous Graph Convolutional Network
Knowledge Discovery and Data Mining (KDD), 2022
YU Peng
Chaofan Fu
Yanwei Yu
Chao Huang
Zhongying Zhao
Junyu Dong
242
100
0
12 Aug 2022
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
Journal of Big Data (J Big Data), 2022
Oliver Lloyd
Yi Liu
T. Gaunt
383
11
0
01 Jul 2022
SCGC : Self-Supervised Contrastive Graph Clustering
Neurocomputing (Neurocomputing), 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
221
32
0
27 Apr 2022
A Survey on Graph Representation Learning Methods
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNN
AI4TS
373
208
0
04 Apr 2022
QUINT: Node embedding using network hashing
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Debajyoti Bera
Rameshwar Pratap
Bhisham Dev Verma
Biswadeep Sen
Tanmoy Chakraborty
GNN
233
4
0
09 Sep 2021
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
Dominik Kloepfer
Angelica I. Aviles-Rivero
Daniel Heydecker
177
3
0
21 Jul 2021
Multiple Kernel Representation Learning on Networks
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Abdulkadir Çelikkanat
Yanning Shen
Fragkiskos D. Malliaros
275
9
0
09 Jun 2021
InstantEmbedding: Efficient Local Node Representations
Stefan Postavaru
Anton Tsitsulin
Filipe Almeida
Yingtao Tian
Silvio Lattanzi
Bryan Perozzi
191
22
0
14 Oct 2020
NodeSig: Binary Node Embeddings via Random Walk Diffusion
International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
A. Papadopoulos
DiffM
402
6
0
01 Oct 2020
1
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