Implicit Graph Neural Networks

14 September 2020

Somayeh Sojoudi

Papers citing "Implicit Graph Neural Networks"

50 / 80 papers shown

Title
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling Heng Chang Liang Gu Cheng Hu Zhinan Zhang Hong Zhu Yuhui Xu Yuan Fang Zhen Chen 56 0 0 22 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King J. Li 52 3 0 18 Feb 2025
Neural Cellular Automata and Deep Equilibrium Models Zhibai Jia 36 0 0 08 Jan 2025
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 34 0 0 01 Nov 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 31 0 0 30 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 31 0 0 18 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning Kai Jungel Dario Paccagnan Axel Parmentier Maximilian Schiffer 23 0 0 09 Oct 2024
The Extrapolation Power of Implicit Models Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh L. Ghaoui 34 0 0 19 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 46 2 0 16 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 49 1 0 08 Jul 2024
Graph Neural Networks Gone Hogwild Olga Solodova Nick Richardson Deniz Oktay Ryan P. Adams AI4CE GNN 21 1 0 29 Jun 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 40 0 0 25 Jun 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 29 2 0 24 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 35 0 0 21 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 35 2 0 16 Jun 2024
Liquid-Graph Time-Constant Network for Multi-Agent Systems Control Antonio Marino C. Pacchierotti P. Giordano 32 1 0 22 Apr 2024
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection Litao Li Steven H. H. Ding Andrew Walenstein P. Charland Benjamin C. M. Fung 24 0 0 03 Apr 2024
Subhomogeneous Deep Equilibrium Models Pietro Sittoni Francesco Tudisco 29 0 0 01 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 32 24 0 21 Feb 2024
The Deep Equilibrium Algorithmic Reasoner Dobrik Georgiev Pietro Lió Davide Buffelli 96 0 0 09 Feb 2024
Path-based Explanation for Knowledge Graph Completion Heng Chang Jiangnan Ye Alejo López-Ávila Jinhua Du Jia Li 30 3 0 04 Jan 2024
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 27 4 0 07 Dec 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 21 1 0 29 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 11 1 0 20 Nov 2023
Deep Equilibrium Diffusion Restoration with Parallel Sampling Jiezhang Cao Yue Shi Kai Zhang Yulun Zhang Radu Timofte Luc Van Gool DiffM 27 10 0 20 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 52 12 0 28 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 35 20 0 16 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lió 33 10 0 11 Oct 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 44 10 0 29 Jul 2023
Rumor Detection with Diverse Counterfactual Evidence Kaiwei Zhang Junchi Yu Haichao Shi Jian Liang Xiao-Yu Zhang 20 23 0 18 Jul 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 22 208 0 14 Jun 2023
Input State Stability of Gated Graph Neural Networks Antonio Marino C. Pacchierotti P. Giordano 52 2 0 30 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 25 9 0 24 May 2023
One-step differentiation of iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 66 13 0 23 May 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 20 9 0 13 Apr 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 20 0 0 17 Mar 2023
Knowledge Graph Completion with Counterfactual Augmentation Heng Chang Jie Cai Jia Li 14 25 0 25 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 19 2 0 17 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 34 2 0 06 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 31 19 0 03 Feb 2023
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 18 1 0 19 Nov 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 27 16 0 18 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 22 2 0 06 Nov 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 10 0 0 27 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 24 39 0 23 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 24 20 0 15 Oct 2022
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 35 14 0 03 Oct 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 27 1 0 22 Sep 2022