Residual Gated Graph ConvNets

20 November 2017

Papers citing "Residual Gated Graph ConvNets"

50 / 98 papers shown

Title
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit Eran Rosenbluth Martin Grohe 26 1 0 01 May 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer Zechao Li J. Q. Shi Xinming Zhang Miao Zhang B. Li 44 0 0 29 Apr 2025
Kinship Verification through a Forest Neural Network Ali Nazari M. Moghaddam Omidreza Borzoei CVBM 23 0 0 26 Apr 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 0 24 Feb 2025
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 52 0 0 04 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 55 0 0 01 Feb 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 86 0 0 10 Dec 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 35 4 0 17 Sep 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 46 0 0 11 Aug 2024
Harvesting Textual and Structured Data from the HAL Publication Repository Francis Kulumba Wissam Antoun Guillaume Vimont Laurent Romary 40 2 0 30 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 47 1 0 22 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 51 0 0 11 Jun 2024
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection Ruituo Wu Yang Chen Jian Xiao Bing Li Jicong Fan Frédéric Dufaux Ce Zhu Yipeng Liu 37 0 0 05 Jun 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 44 4 0 05 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 38 0 0 15 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 41 7 0 04 Apr 2024
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm Chunhang Zheng Kechao Cai 25 0 0 27 Mar 2024
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors Kaishen Yuan Zitong Yu Xin Liu Weicheng Xie Huanjing Yue Jingyu Yang ViT 31 13 0 07 Mar 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 36 6 0 07 Feb 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 36 3 0 03 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 27 0 0 31 Jan 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 8 0 0 30 Jan 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling Jiawei Lu Tinghan Ye Wenbo Chen Pascal Van Hentenryck AI4TS 38 0 0 08 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 57 7 0 27 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 35 6 0 30 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 32 0 0 08 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 42 3 0 02 Nov 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 40 20 0 02 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 49 12 0 31 Aug 2023
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats Wei Chen Yihui Ren Ai Kagawa Matthew R. Carbone Sam Yen-Chi Chen ... Austin R. Clyde Arvind Ramanathan R. Stevens Hubertus Van Dam D. Lu OOD 32 2 0 17 Jul 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark J. Coates Philip Torr Ser-Nam Lim AI4CE 34 85 0 27 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 47 3 0 01 Mar 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 28 31 0 22 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 22 2 0 17 Feb 2023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander ... D. Beker Andrew Fitzgibbon Shenyang Huang Ladislav Rampášek Dominique Beaini 38 8 0 06 Feb 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 33 1 0 12 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 47 88 0 27 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 28 13 0 19 Dec 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge Shangbin Feng Zhaoxuan Tan Zilong Chen Ningnan Wang Peisheng Yu Qinghua Zheng Xiao Chang Minnan Luo 29 8 0 15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 35 10 0 14 Oct 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 83 0 07 Sep 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 17 40 0 06 Jul 2022