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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 877 papers shown

Title
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models Bicheng Xu Qi Yan Renjie Liao Lele Wang Leonid Sigal DiffM 361 3 0 02 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 170 4 0 01 Jan 2024
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning Zhaoning Yu Hongyang Gao 245 1 0 24 Dec 2023
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks Taha Eghtesad Sirui Li Yevgeniy Vorobeychik Aron Laszka 117 2 0 22 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz Pavlo Vasylenko 172 9 0 19 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu Anh Tuan Luu Xavier Bresson Neil Shah Tong Zhao GNN 168 10 0 18 Dec 2023
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks Xiran Qu Xuequn Shang Yupei Zhang 188 3 0 15 Dec 2023
Graph Neural Networks with Diverse Spectral FilteringThe Web Conference (WWW), 2023 Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 317 14 0 14 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 170 2 0 11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 239 3 0 10 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 146 0 0 09 Dec 2023
What Planning Problems Can A Relational Neural Network Solve? Jiayuan Mao Tomás Lozano-Pérez Joshua B. Tenenbaum L. Kaelbling 132 11 0 06 Dec 2023
PACE: A Program Analysis Framework for Continuous Performance PredictionACM Transactions on Software Engineering and Methodology (TOSEM), 2023 Chidera Biringa Gökhan Kul 179 3 0 01 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient TransformersLOG IN (LOG IN), 2023 Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 418 10 0 30 Nov 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 162 4 0 29 Nov 2023
PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network Xiyuan Wang Muhan Zhang AI4CE 132 4 0 28 Nov 2023
GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh TexturesInternational Conference on Information Photonics (ICIP), 2023 Sai Karthikey Pentapati Anshul Rai Arkady Ten Chaitanya Atluru Alan Bovik 200 3 0 28 Nov 2023
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Lorenzo Mario Amorosa Marco Skocaj Roberto Verdone Deniz Gündüz AI4CE 160 8 0 27 Nov 2023
Effective Structural Encodings via Local Curvature ProfilesInternational Conference on Learning Representations (ICLR), 2023 Lukas Fesser Melanie Weber 203 6 0 24 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation LearningLOG IN (LOG IN), 2023 Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 231 7 0 24 Nov 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 154 3 0 19 Nov 2023
Higher-Order Expander Graph Propagation Thomas Christie Yu He 188 4 0 14 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention MapsNeural Networks (Neural Netw.), 2023 Yifei Yang Peng Wang Xiaofan He Dongmian Zou 258 11 0 10 Nov 2023
Going beyond persistent homology using persistent homologyNeural Information Processing Systems (NeurIPS), 2023 Johanna Immonen Amauri H. Souza Vikas Garg 239 19 0 10 Nov 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent Lorenz Kummer Samir Moustafa Nils N. Kriege Wilfried N. Gansterer GNN AAML 169 0 0 02 Nov 2023
Efficient Subgraph GNNs by Learning Effective Selection PoliciesInternational Conference on Learning Representations (ICLR), 2023 Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 245 18 0 30 Oct 2023
A Metadata-Driven Approach to Understand Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 242 8 0 30 Oct 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural NetworkNeural Information Processing Systems (NeurIPS), 2023 Lecheng Kong Jiarui Feng Hao Liu Dacheng Tao Yixin Chen Muhan Zhang AI4CE 128 17 0 29 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral EmbeddingNeural Information Processing Systems (NeurIPS), 2023 Jiangyan Ma Yifei Wang Yisen Wang 348 20 0 28 Oct 2023
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images Oriane Thiery M. Rizkallah C. Bailly C. Bodet-Milin Emmanuel Itti R. Casasnovas S. Gouill T. Carlier D. Mateus MedIm AI4CE 147 2 0 25 Oct 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 212 5 0 25 Oct 2023
Graph Neural Networks with polynomial activations have limited expressivity Sammy Khalife 303 1 0 19 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Shuaiyi Li Yang Deng Wai Lam 334 3 0 19 Oct 2023
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition Andres Tello Victoria Degeler Alexander Lazovik 99 1 0 18 Oct 2023
Equivariant Matrix Function Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 354 9 0 16 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 250 33 0 16 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 219 2 0 11 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu Zhengwu Zhang Bo Pan GNN 201 30 0 07 Oct 2023
On the Stability of Expressive Positional Encodings for GraphsInternational Conference on Learning Representations (ICLR), 2023 Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 373 28 0 04 Oct 2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning Shang Zhu Bharath Ramsundar Emil Annevelink Hongyi Lin Adarsh Dave Pin-Wen Guan Kevin Gering Venkat Viswanathan 356 1 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Karen Ullrich Mathias Niepert Christopher Morris 350 23 0 03 Oct 2023
Cooperative Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 344 47 0 02 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms?Neural Information Processing Systems (NeurIPS), 2023 Morris Yau Eric Lu Nikolaos Karalias Jessica Xu Stefanie Jegelka 549 13 0 01 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 325 1 0 30 Sep 2023
One for All: Towards Training One Graph Model for All Classification TasksInternational Conference on Learning Representations (ICLR), 2023 Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 425 203 0 29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and BenchmarksInternational Conference on Learning Representations (ICLR), 2023 Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Luke Huan Wei Wang 141 10 0 29 Sep 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems Hao Li Lars Schmidt-Thieme 188 7 0 29 Sep 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif ParametersInternational Conference on Learning Representations (ICLR), 2023 Matthias Lanzinger Pablo Barceló 209 11 0 29 Sep 2023
AtomSurf : Surface Representation for Learning on Protein StructuresInternational Conference on Learning Representations (ICLR), 2023 Vincent Mallet Souhaib Attaiki Yangyang Miao Bruno Correia M. Ovsjanikov 398 5 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Shucheng Zhou Marco Cristani AI4TS GNN 464 10 0 27 Sep 2023