Recipe for a General, Powerful, Scalable Graph Transformer

25 May 2022

Ladislav Rampášek

Mikhail Galkin

Vijay Prakash Dwivedi

A. Luu

Guy Wolf

Dominique Beaini

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Papers citing "Recipe for a General, Powerful, Scalable Graph Transformer"

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Benchmarking GNNs Using Lightning Network Data Rainer Feichtinger Florian Grötschla Lioba Heimbach Roger Wattenhofer 17 0 0 05 Jul 2024
NeuroSteiner: A Graph Transformer for Wirelength Estimation S. Manchanda D. Kianfar Markus Peschl Romain Lepert Michaël Defferrard 19 0 0 04 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 33 0 0 03 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 36 1 0 02 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 22 5 0 02 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 40 1 0 02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 14 2 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 22 1 0 30 Jun 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 22 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 29 1 0 27 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 24 5 0 24 Jun 2024
Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba Yuchen Zou Yineng Chen Zuchao Li Lefei Zhang Hai Zhao 42 1 0 24 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 25 1 0 22 Jun 2024
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease Elisa Gómez de Lope Saurabh Deshpande Ramón Viñas Torné Pietro Lio Enrico Glaab Stéphane P. A. Bordas 16 1 0 20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 32 4 0 19 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 48 8 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 35 1 0 17 Jun 2024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs J. Gastinger Shenyang Huang Mikhail Galkin Erfan Loghmani Ali Parviz ... Emanuele Rossi Ioannis Koutis Heiner Stuckenschmidt Reihaneh Rabbany Guillaume Rabusseau 38 6 0 14 Jun 2024
Scoreformer: A Surrogate Model For Large-Scale Prediction of Docking Scores Álvaro Ciudad Adrián Morales-Pastor Laura Malo Isaac Filella-Merce Víctor Guallar Alexis Molina 40 0 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 19 1 0 13 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschlager Niklas Kemper Leon Hetzel Johanna Sommer Stephan Günnemann 40 0 0 12 Jun 2024
Non-autoregressive Personalized Bundle Generation Wenchuan Yang Cheng Yang Jichao Li Yuejin Tan Xin Lu Chuan Shi 21 0 0 11 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 39 7 0 09 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 24 8 0 06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 24 2 0 05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 21 1 0 05 Jun 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding Hongkang Li Meng Wang Tengfei Ma Sijia Liu Zaixi Zhang Pin-Yu Chen MLT AI4CE 37 7 0 04 Jun 2024
Dual-perspective Cross Contrastive Learning in Graph Transformers Zelin Yao Chuang Liu Xueqi Ma Mukun Chen Jia Wu Xiantao Cai Bo Du Wenbin Hu 32 0 0 01 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 33 1 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 20 1 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 37 7 0 29 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 22 0 0 28 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 28 1 0 27 May 2024
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Minghao Xu Yunteng Geng Yihang Zhang Ling Yang Jian Tang Wentao Zhang 20 2 0 25 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 19 1 0 25 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 34 1 0 24 May 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 35 3 0 23 May 2024
Advancing Graph Convolutional Networks via General Spectral Wavelets Nian Liu Xiaoxin He T. Laurent Francesco Di Giovanni Michael M. Bronstein Xavier Bresson 30 1 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 44 1 0 22 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tonshoff Martin Ritzert Berke Kisin Martin Grohe 18 12 0 20 May 2024
Towards Knowledge-Infused Automated Disease Diagnosis Assistant Mohit Tomar Abhisek Tiwari Sriparna Saha MedIm 16 2 0 18 May 2024
Hi-GMAE: Hierarchical Graph Masked Autoencoders Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu Shirui Pan Bo Du AI4CE 36 0 0 17 May 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records Jiayuan Chen Changchang Yin Yuanlong Wang Ping Zhang 25 0 0 07 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 27 0 0 06 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 30 4 0 05 May 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 26 4 0 24 Apr 2024
$$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning$ $\texttt{MiniMol}$ : A Parameter-Efficient Foundation Model for Molecular Learning Kerstin Klaser Bla.zej Banaszewski S. Maddrell-Mander Callum McLean Luis Muller Alipanah Parviz Shenyang Huang Andrew Fitzgibbon AI4CE 33 5 0 23 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 29 3 0 21 Apr 2024
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News Qixuan Zhang Zhifeng Wang Yang Liu Zhenyue Qin Kaihao Zhang Sabrina Caldwell Tom Gedeon CVBM 28 1 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 22 5 0 20 Apr 2024