GraphWorld: Fake Graphs Bring Real Insights for GNNs

28 February 2022

Papers citing "GraphWorld: Fake Graphs Bring Real Insights for GNNs"

46 / 46 papers shown

Title
Visualization Tasks for Unlabelled Graphs Matt I. B. Oddo Ryan Smith Stephen Kobourov Tamara Munzner 34 0 0 19 Apr 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Alexander Rieck 89 1 0 04 Feb 2025
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 81 0 0 19 Nov 2024
Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev Mikhail Mironov Liudmila Prokhorenkova 38 3 0 27 Sep 2024
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Bahare Fatemi Mehran Kazemi Anton Tsitsulin Karishma Malkan Jinyeong Yim John Palowitch Sungyong Seo Jonathan J. Halcrow Bryan Perozzi LRM 43 26 0 13 Jun 2024
Large Generative Graph Models Yu Wang Ryan A. Rossi Namyong Park Huiyuan Chen Nesreen K. Ahmed Puja Trivedi Franck Dernoncourt Danai Koutra Tyler Derr AI4CE 39 3 0 07 Jun 2024
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance Roya Aliakbarisani Robert Jankowski M. Á. Serrano Marián Boguná 44 0 0 04 Jun 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 37 0 0 23 Apr 2024
Network Formation and Dynamics Among Multi-LLMs Marios Papachristou Yuan Yuan 50 11 0 16 Feb 2024
Unsupervised Optimisation of GNNs for Node Clustering Will Leeney Ryan McConville 34 0 0 12 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 48 6 0 07 Feb 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 47 0 0 07 Jan 2024
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection Will Leeney Ryan McConville 30 2 0 14 Dec 2023
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure Anton Tsitsulin Bryan Perozzi 32 5 0 08 Dec 2023
Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models Debarati Das Ishaan Gupta Jaideep Srivastava Dongyeop Kang 41 9 0 16 Nov 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 31 5 0 30 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 42 7 0 20 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu-Chiang Frank Wang Tong Zhao Yuying Zhao Yunchao Liu Xueqi Cheng Neil Shah Tyler Derr 32 9 0 06 Oct 2023
Talk like a Graph: Encoding Graphs for Large Language Models Bahare Fatemi Jonathan J. Halcrow Bryan Perozzi AI4CE 25 94 0 06 Oct 2023
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks A. Maritan Jiaao Chen S. Dey Luca Schenato Diyi Yang Xing Xie ELM LRM 27 42 0 29 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 34 19 0 20 Sep 2023
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips Nicolas Hubert Pierre Monnin Mathieu dÁquin D. Monticolo Armelle Brun 22 2 0 07 Sep 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning Bahare Fatemi Sami Abu-El-Haija Anton Tsitsulin Seyed Mehran Kazemi Dustin Zelle Neslihan Bulut Jonathan J. Halcrow Bryan Perozzi 54 10 0 21 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 36 3 0 18 Aug 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 26 0 0 14 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 30 6 0 08 Jun 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 30 4 0 17 May 2023
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection Will Leeney Ryan McConville 31 4 0 10 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 72 21 0 01 May 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 48 38 0 27 Feb 2023
On the Expressivity of Persistent Homology in Graph Learning Bastian Alexander Rieck Bastian Rieck 19 13 0 20 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark J. Coates 29 7 0 06 Feb 2023
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 40 5 0 08 Dec 2022
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 40 4 0 04 Oct 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 29 9 0 26 Aug 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 19 7 0 10 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow Oleksandr Ferludin Arno Eigenwillig Martin J. Blais Dustin Zelle Jan Pfeifer ... Anton Tsitsulin Kevin Villela Lisa Wang David Wong Bryan Perozzi GNN 18 35 0 07 Jul 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 25 21 0 18 Jun 2022
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics Axel Wassington S. Abadal GNN 23 1 0 16 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 26 14 0 15 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 39 8 0 08 Jun 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 29 2 0 20 May 2022
Graph Attention Retrospective K. Fountoulakis Amit Levi Shenghao Yang Aseem Baranwal Aukosh Jagannath GNN 18 35 0 26 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 32 170 0 09 Feb 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020