Message passing all the way up

22 February 2022

Papers citing "Message passing all the way up"

20 / 20 papers shown

Title
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 57 4 0 23 Feb 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective Yihong Chen Pushkar Mishra Luca Franceschi Pasquale Minervini Pontus Stenetorp Sebastian Riedel 67 20 0 17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 81 11 0 10 Jan 2025
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 54 1 0 09 Oct 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 51 0 0 26 Jul 2024
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 36 0 0 11 Jul 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 36 7 0 29 Mar 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 25 179 0 19 Jan 2023
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 38 5 0 27 Nov 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Lisi Qarkaxhija Vincenzo Perri Ingo Scholtes CML AI4CE 24 6 0 17 Sep 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lio MILM 42 41 0 22 Aug 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 39 17 0 22 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 32 62 0 15 Jun 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 32 27 0 27 Apr 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 25 32 0 29 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 312 0 15 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 176 1,119 0 27 Apr 2021
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 146 195 0 20 Oct 2020