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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Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 9 2 0 30 Jun 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 17 3 0 27 Jun 2023
Deep graph kernel point processes Zheng Dong Matthew Repasky Xiuyuan Cheng Yao Xie 3DPC 17 2 0 20 Jun 2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method Shuo Han Jiachegn Liu Jiayun Wu Yinan Chen Li Tao 8 0 0 20 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 27 74 0 19 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 27 20 0 17 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu Weitao Du Yanjing Li Zhuoxinran Li Zhiling Zheng ... Anima Anandkumar C. Borgs J. Chayes Hongyu Guo Jian Tang AI4CE 26 17 0 15 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction Xu Wang Huan Zhao Weiwei Tu Quanming Yao AI4CE 19 35 0 13 Jun 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction Yu-Ching Lin Keqiang Yan Youzhi Luo Yi Liu Xiaoning Qian Shuiwang Ji 66 32 0 12 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 14 19 0 09 Jun 2023
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design Julien Roy Pierre-Luc Bacon C. Pal Emmanuel Bengio AI4CE 15 14 0 07 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 13 33 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 22 7 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 34 10 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 32 22 0 05 Jun 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 19 1 0 31 May 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 26 4 0 30 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun-Xiong Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 24 52 0 28 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 19 0 0 28 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 22 29 0 28 May 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark J. Coates Philip H. S. Torr Ser-Nam Lim AI4CE 12 86 0 27 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 19 6 0 25 May 2023
CongFu: Conditional Graph Fusion for Drug Synergy Prediction Oleksii Tsepa Bohdan Naida Anna Goldenberg Bo Wang 8 1 0 23 May 2023
On Structural Expressive Power of Graph Transformers Wenhao Zhu Tianyu Wen Guojie Song Liangji Wang Bo Zheng 17 15 0 23 May 2023
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs Pengcheng Jiang Cao Xiao Adam Cross Jimeng Sun AI4MH 21 20 0 22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 15 4 0 22 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 13 8 0 21 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 23 9 0 19 May 2023
Neural Algorithmic Reasoning for Combinatorial Optimisation Dobrik Georgiev Danilo Numeroso D. Bacciu Pietro Lio' NAI 11 13 0 18 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 14 39 0 13 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten M. Borgwardt GNN 11 2 0 12 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 18 3 0 12 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 19 4 0 10 May 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 6 14 0 08 May 2023
Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance Adrián Arnaiz-Rodríguez Georgina Curto Nuria Oliver 11 0 0 05 May 2023
Are VAEs Bad at Reconstructing Molecular Graphs? Hagen Muenkler Hubert Misztela Michał Pikusa Marwin H. S. Segler Nadine Schneider Krzysztof Maziarz DRL 17 2 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 30 8 0 04 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 18 6 0 02 May 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux Emmanuel Jehanno Margot Selosse Julien Mairal 16 6 0 21 Apr 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 14 1 0 28 Mar 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 20 2 0 21 Mar 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 14 7 0 19 Mar 2023
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+ Shuqi Lu Zhifeng Gao Di He Linfeng Zhang Guolin Ke 19 24 0 16 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 11 58 0 10 Mar 2023
Ewald-based Long-Range Message Passing for Molecular Graphs Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann 64 25 0 08 Mar 2023
Probing Graph Representations Mohammad Sadegh Akhondzadeh Vijay Lingam Aleksandar Bojchevski 26 10 0 07 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 14 16 0 06 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 69 74 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 28 3 0 01 Mar 2023
Single-Cell Multimodal Prediction via Transformers Wenzhuo Tang Haifang Wen Renming Liu Jiayuan Ding Wei Jin Yuying Xie Hui Liu Jiliang Tang AI4CE 16 11 0 01 Mar 2023