GraphiT: Encoding Graph Structure in Transformers

GraphiT: Encoding Graph Structure in Transformers

10 June 2021

Grégoire Mialon

Papers citing "GraphiT: Encoding Graph Structure in Transformers"

18 / 118 papers shown

Title
Generalised Implicit Neural Representations Daniele Grattarola P. Vandergheynst 21 30 0 31 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 75 519 0 25 May 2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representations Zhen Bi Shuyang Cheng Jing Chen Xiaozhuan Liang Zhiyu Li Ningyu Zhang 37 37 0 22 May 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 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 49 142 0 25 Feb 2022
Message passing all the way up Petar Velickovic 113 64 0 22 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 16 137 0 17 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 36 237 0 07 Feb 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 27 12 0 23 Jan 2022
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 25 7 0 23 Dec 2021
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks Wenxi Wang Yang Hu Mohit Tiwari S. Khurshid K. McMillan Risto Miikkulainen GNN NAI 22 6 0 26 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 26 99 0 04 Mar 2021
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 26 36 0 18 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016