Transformers Generalize DeepSets and Can be Extended to Graphs and
Hypergraphs

Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs

27 October 2021

Papers citing "Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs"

11 / 11 papers shown

Title
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 44 4 0 05 May 2024
CSA-Trans: Code Structure Aware Transformer for AST Saeyoon Oh Shin Yoo 38 1 0 07 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 41 7 0 04 Apr 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 30 9 0 07 Feb 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 34 30 0 07 Dec 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition Lei Wang Piotr Koniusz ViT 28 45 0 25 Mar 2023
Fast computation of permutation equivariant layers with the partition algebra Charles Godfrey Michael G. Rawson Davis Brown Henry Kvinge 40 6 0 10 Mar 2023
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 43 189 0 06 Jul 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 195 0 16 Jun 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 72 25 0 24 May 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 49 141 0 25 Feb 2022