EIGNN: Efficient Infinite-Depth Graph Neural Networks

22 February 2022

Bryan Hooi

Papers citing "EIGNN: Efficient Infinite-Depth Graph Neural Networks"

28 / 28 papers shown

Title
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
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 34 0 0 12 Aug 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
Hybrid Quantum Graph Neural Network for Molecular Property Prediction Michael Vitz Hamed Mohammadbagherpoor Samarth Sandeep Andrew Vlasic Richard Padbury Anh Pham AI4CE 23 1 0 08 May 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 54 7 0 27 Dec 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 52 12 0 28 Oct 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 20 3 0 07 Aug 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
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
Towards a GML-Enabled Knowledge Graph Platform Hussein Abdallah Essam Mansour 21 2 0 03 Mar 2023
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 39 11 0 20 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 20 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
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 27 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
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 22 33 0 14 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 193 0 16 Jun 2022
Rank Diminishing in Deep Neural Networks Ruili Feng Kecheng Zheng Yukun Huang Deli Zhao Michael I. Jordan Zhengjun Zha 26 28 0 13 Jun 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 27 67 0 18 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 44 15 0 12 Nov 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 93 224 0 24 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 836 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018