Supercharging Graph Transformers with Advective Diffusion

10 October 2023

Papers citing "Supercharging Graph Transformers with Advective Diffusion"

7 / 7 papers shown

Title
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 35 1 0 13 Sep 2024
Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu Fan Nie Chenxiao Yang Junchi Yan OOD 26 1 0 07 Jun 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 30 25 0 14 Feb 2024
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 26 11 0 13 Nov 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 23 20 0 16 Oct 2023
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 64 53 0 02 Oct 2022
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 0 28 Sep 2019