v1v2 (latest)

Relational Pooling for Graph Representations

6 March 2019

R. Murphy

Balasubramaniam Srinivasan

Papers citing "Relational Pooling for Graph Representations"

50 / 167 papers shown

Title
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 38 0 0 06 Jun 2025
Studying and Improving Graph Neural Network-based Motif Estimation Pedro C. Vieira Miguel E. P. Silva Pedro Manuel Pinto Ribeiro 9 0 0 30 May 2025
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations Martin Carrasco Guillermo Bernardez Marco Montagna Nina Miolane Lev Telyatnikov AI4CE 86 0 0 21 May 2025
Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu Gang Liu Eric Inae Tengfei Luo Meng Jiang 101 0 0 15 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 71 0 0 14 May 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 151 0 0 15 Mar 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 139 1 0 27 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 111 1 0 22 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 184 4 0 20 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 135 4 0 03 Feb 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 195 11 0 10 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern Yam Eitan Guy Bar-Shalom Michael M. Bronstein Haggai Maron Fabrizio Frasca 102 1 0 06 Jan 2025
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 139 1 0 10 Dec 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 64 0 0 04 Nov 2024
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs Longwen Wang Jianchun Liu Zhi Liu Jinyang Huang AI4CE FedML 61 0 0 21 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 111 0 0 18 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 83 5 0 31 Jul 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs Zhengdao Li Yong Cao Kefan Shuai Yiming Miao Kai Hwang 123 2 0 06 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 156 2 0 03 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 178 1 0 01 Jul 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 170 51 0 26 Jun 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 79 0 0 25 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 90 1 0 17 Jun 2024
Baking Symmetry into GFlowNets George Ma Emmanuel Bengio Yoshua Bengio Dinghuai Zhang 96 11 0 08 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang Qihui Yang Dawei Zhou Yujun Yan AI4CE 136 4 0 07 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 85 2 0 31 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 111 4 0 27 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 102 4 0 30 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 112 5 0 20 Apr 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 99 2 0 20 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 154 2 0 19 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 185 72 0 13 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 146 12 0 12 Feb 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 71 7 0 03 Feb 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 75 13 0 31 Jan 2024
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 126 17 0 04 Dec 2023
Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 70 13 0 30 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 102 14 0 28 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 84 2 0 06 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 142 15 0 03 Oct 2023
Recurrent Temporal Revision Graph Networks Yizhou Chen Anxiang Zeng Guangda Huzhang Qingtao Yu Kerui Zhang Yuan Cao Kangle Wu Han Yu Zhiming Zhou 71 3 0 22 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 94 1 0 01 Sep 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 83 39 0 31 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 231 26 0 16 Aug 2023
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers Hadi Abdine Michail Chatzianastasis Costas Bouyioukos Michalis Vazirgiannis 71 45 0 25 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 83 18 0 14 Jul 2023
Supervised Attention Using Homophily in Graph Neural Networks Michail Chatzianastasis Giannis Nikolentzos Michalis Vazirgiannis GNN 58 0 0 11 Jul 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 95 31 0 09 Jun 2023
Expectation-Complete Graph Representations with Homomorphisms Pascal Welke Maximilian Thiessen Fabian Jogl Thomas Gärtner 48 8 0 09 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 133 11 0 05 Jun 2023