TUDataset: A collection of benchmark datasets for learning with graphs

16 July 2020

Nils M. Kriege

Papers citing "TUDataset: A collection of benchmark datasets for learning with graphs"

50 / 119 papers shown

Title
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 25 4 0 03 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 10 0 0 01 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 19 61 0 28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 23 5 0 27 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 22 0 16 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 10 3 0 15 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 25 12 0 11 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 18 32 0 06 Nov 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 30 7 0 27 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 76 46 0 22 Oct 2022
GLCC: A General Framework for Graph-Level Clustering Wei Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xing Liu Xiao Luo Ming Zhang 25 39 0 21 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 22 4 0 20 Oct 2022
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race Franka Bause Nils M. Kriege CLL 16 6 0 19 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 13 6 0 16 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 33 15 0 14 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 18 1 0 01 Sep 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 22 10 0 12 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 32 368 0 05 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 21 35 0 24 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 30 24 0 01 Jul 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 11 72 0 26 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe D. Ranasinghe S. Kanhere AAML 27 36 0 21 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 19 93 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 21 98 0 15 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 22 60 0 27 May 2022
GraphHD: Efficient graph classification using hyperdimensional computing Igor O. Nunes Mike Heddes T. Givargis Alexandru Nicolau A. Veidenbaum 12 52 0 16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 33 39 0 25 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 30 138 0 25 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 34 23 0 25 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 19 29 0 21 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 31 25 0 07 Feb 2022
LAGOON: An Analysis Tool for Open Source Communities Sourya Dey Walt Woods 11 2 0 26 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 13 67 0 12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Wenwen Qiang Lingyu Si Fuchun Sun Changwen Zheng 13 11 0 11 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 17 152 0 30 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 15 2 0 25 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 27 2 0 05 Nov 2021
Graph Filtration Kernels Till Hendrik Schulz Pascal Welke Stefanie Wrobel 17 12 0 22 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 22 88 0 11 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 20 160 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 30 174 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 29 2 0 24 Sep 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 15 33 0 21 Aug 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 22 25 0 20 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 11 12 0 15 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 13 80 0 03 Jul 2021