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1806.02193
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GraKeL: A Graph Kernel Library in Python
6 June 2018
Giannis Siglidis
Giannis Nikolentzos
Stratis Limnios
C. Giatsidis
Konstantinos Skianis
Michalis Vazirgiannis
GP
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Papers citing
"GraKeL: A Graph Kernel Library in Python"
50 / 66 papers shown
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258
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KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis
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Global optimization of graph acquisition functions for neural architecture search
Yilin Xie
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Calvin Tsay
282
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29 May 2025
Learnable Kernel Density Estimation for Graphs
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Ziheng Sun
Chris Ding
Jicong Fan
507
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27 May 2025
Metric Graph Kernels via the Tropical Torelli Map
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Anthea Monod
253
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17 May 2025
Subsampling Graphs with GNN Performance Guarantees
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Stefanie Jegelka
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303
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23 Feb 2025
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
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Yinghao Cai
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260
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31 Oct 2024
Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs
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405
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21 Oct 2024
Deep Sketched Output Kernel Regression for Structured Prediction
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Florence dÁlché-Buc
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Leveraging Discourse Structure for Extractive Meeting Summarization
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Guokan Shang
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Julie Hunter
396
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17 May 2024
Deep Hierarchical Graph Alignment Kernels
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Shuhao Tang
Hao Tian
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257
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Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
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Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
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Zijian Zhang
Zhiqian Chen
179
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Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
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Tingting Dan
Guorong Wu
299
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12 Feb 2024
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute
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Tajima Shinji
Ren Sugihara
Ryota Kitahara
Masayuki Karasuyama
201
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10 Feb 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
407
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06 Feb 2024
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection
J. Kim
M. Urschler
Patricia J. Riddle
Jörg Simon Wicker
AAML
401
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12 Dec 2023
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo
Guokan Shang
Michalis Vazirgiannis
Chloé Clavel
524
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16 Nov 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
Arjun Subramonian
Adina Williams
Maximilian Nickel
Yizhou Sun
Levent Sagun
407
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11 Jul 2023
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
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169
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19 Jun 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
International Symposium on Software Testing and Analysis (ISSTA), 2023
Mingyi Zhou
Yantao Du
Jing Wu
John C. Grundy
Xiao Chen
Chunyang Chen
Li Li
AAML
453
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01 Jun 2023
Inductive Graph Unlearning
USENIX Security Symposium (USENIX Security), 2023
Cheng-Long Wang
Mengdi Huai
Haiyan Zhao
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452
42
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06 Apr 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection
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Yunhe Zhang
Yan Sun
Jinyu Cai
Jicong Fan
322
26
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13 Feb 2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
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Yi Han
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Jicong Fan
282
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05 Feb 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
Neural Information Processing Systems (NeurIPS), 2022
Ryan-Rhys Griffiths
Leo Klarner
Henry B. Moss
Aditya Ravuri
Sang T. Truong
...
A. Lee
Bingqing Cheng
Alán Aspuru-Guzik
P. Schwaller
Jian Tang
GP
462
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06 Dec 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network
Chuxuan Hu
Qinghai Zhou
Hanghang Tong
200
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0
08 Nov 2022
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
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J. Kim
M. Urschler
Patricia J. Riddle
Jörg Simon Wicker
190
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24 Sep 2022
Efficient multi-relational network representation using primes
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George Giannakopoulos
252
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Yufei Liu
Jie Cao
D. Pi
GNN
165
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26 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks
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Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
380
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06 Jul 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training
Xueyi Liu
Yu Rong
Qifeng Bai
Gang Hua
Wen-bing Huang
Junzhou Huang
112
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23 Jun 2022
Metric Based Few-Shot Graph Classification
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Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
278
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Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Wei Ye
Hao Tian
Qi Chen
526
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02 Jun 2022
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Hongwei Jin
Zishun Yu
Xinhua Zhang
209
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12 May 2022
Graph similarity learning for change-point detection in dynamic networks
Machine-mediated learning (ML), 2022
Déborah Sulem
Henry Kenlay
Mihai Cucuringu
Xiaowen Dong
309
31
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29 Mar 2022
Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut
Bryan M. Krause
M. Banks
K. Nourski
B. V. Veen
234
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02 Feb 2022
On Evaluation Metrics for Graph Generative Models
International Conference on Learning Representations (ICLR), 2022
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
396
58
0
24 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
AAAI Conference on Artificial Intelligence (AAAI), 2022
Aosong Feng
Chenyu You
Maroun Touma
Leandros Tassiulas
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289
108
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03 Jan 2022
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials
Christopher Yacoumatos
Stefano Bragaglia
Anshul Kanakia
Nils Svangård
J. Mangion
Claire R. Donoghue
J. Weatherall
F. Khan
K. Shameer
202
3
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Graph Filtration Kernels
AAAI Conference on Artificial Intelligence (AAAI), 2021
Till Hendrik Schulz
Pascal Welke
Stefanie Wrobel
173
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Matching Models for Graph Retrieval
Chitrank Gupta
Yash Jain
101
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03 Oct 2021
Heat diffusion distance processes: a statistically founded method to analyze graph data sets
Journal of Applied and Computational Topology (JACT), 2021
E. Lasalle
80
1
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Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
A. Tolmachev
Akira Sakai
Masaru Todoriki
Koji Maruhashi
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120
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GLAMOUR: Graph Learning over Macromolecule Representations
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Joyce An
Rafael Gómez-Bombarelli
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196
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Online Graph Dictionary Learning
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Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Marco Corneli
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286
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12 Feb 2021
A Generalized Weisfeiler-Lehman Graph Kernel
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T. Schulz
Tamás Horváth
Pascal Welke
Stefan Wrobel
210
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On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
Big Data (BD), 2020
Lingxiao Zhao
Leman Akoglu
580
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23 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
Jianming Huang
Zhongxi Fang
Hiroyuki Kasai
384
21
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07 Dec 2020
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