On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers

4 April 2024

Papers citing "On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers"

10 / 10 papers shown

Title
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 63 0 0 17 Feb 2025
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 37 0 0 13 Oct 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 55 2 0 03 Jul 2024
Attending to Topological Spaces: The Cellular Transformer Rubén Ballester Pablo Hernández-García Mathilde Papillon Claudio Battiloro Nina Miolane Tolga Birdal Carles Casacuberta Sergio Escalera Mustafa Hajij 37 3 0 23 May 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 28 3 0 03 Feb 2024
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 308 0 15 Oct 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 274 2,015 0 28 Jul 2020
The expressive power of kth-order invariant graph networks Floris Geerts 126 37 0 23 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 243 580 0 12 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020