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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Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 12 30 0 07 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 17 3 0 07 Dec 2023
Large Language Models on Graphs: A Comprehensive Survey Bowen Jin Gang Liu Chi Han Meng-Long Jiang Heng Ji Jiawei Han AI4CE 24 120 0 05 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 41 16 0 04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 13 6 0 03 Dec 2023
Effective Structural Encodings via Local Curvature Profiles Lukas Fesser Melanie Weber 14 3 0 24 Nov 2023
Learning to Optimise Wind Farms with Graph Transformers Siyi Li Arnaud Robert A. A. Faisal M. Piggott 12 4 0 21 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 39 11 0 13 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 22 0 0 08 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 19 3 0 02 Nov 2023
$Generating QM1B with PySCF$_{\text{IPU}}$$ Generating QM1B with PySCF $_{\text{IPU}}$ Alexander Mathiasen Hatem Helal Kerstin Klaser Paul Balanca Josef Dean Carlo Luschi Dominique Beaini Andrew Fitzgibbon Dominic Masters 10 1 0 02 Nov 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou Xiyuan Wang Muhan Zhang 23 14 0 30 Oct 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 14 15 0 28 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 17 13 0 28 Oct 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt Yining Ma Zhiguang Cao Yeow Meng Chee 12 36 0 27 Oct 2023
BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu Laney Goldman Valentina Guo Benjamin Hollander-Bodie Maedee Trank-Greene Ian M. Adelstein E. Brouwer Rex Ying Smita Krishnaswamy Michael Perlmutter 19 1 0 26 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 17 11 0 23 Oct 2023
Can strong structural encoding reduce the importance of Message Passing? Floor Eijkelboom Erik J. Bekkers Michael M. Bronstein Francesco Di Giovanni University of Amsterdam 11 2 0 22 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 16 3 0 20 Oct 2023
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction Xusheng Zhao Hao Liu Qiong Dai Hao Peng Xu Bai Huailiang Peng 15 0 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang 16 6 0 17 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 16 14 0 14 Oct 2023
Multimodal Graph Learning for Generative Tasks Minji Yoon Jing Yu Koh Bryan Hooi Ruslan Salakhutdinov 25 7 0 11 Oct 2023
Non-backtracking Graph Neural Networks Seonghyun Park Narae Ryu Ga-Rin Kim Dongyeop Woo Se-Young Yun Sungsoo Ahn 17 4 0 11 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 29 2 0 11 Oct 2023
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize Joël Mathys Florian Grötschla K. Nadimpalli Roger Wattenhofer FedML 36 0 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 34 6 0 10 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 13 7 0 08 Oct 2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets Dominique Beaini Shenyang Huang Joao Alex Cunha Zhiyi Li Gabriela Moisescu-Pareja ... Thérence Bois Andrew Fitzgibbon Bla.zej Banaszewski Chad Martin Dominic Masters AI4CE 13 19 0 06 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 15 8 0 04 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 23 11 0 03 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 16 13 0 03 Oct 2023
Transformers are efficient hierarchical chemical graph learners Zihan Pengmei Zimu Li Chih-chan Tien Risi Kondor Aaron R Dinner GNN 8 1 0 02 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 20 27 0 02 Oct 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 8 2 0 29 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 12 11 0 29 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin B. Shahbaba 15 1 0 23 Sep 2023
Deep Prompt Tuning for Graph Transformers Reza Shirkavand Heng-Chiao Huang 15 4 0 18 Sep 2023
Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos Fen Fang Yun Liu Ali Koksal Qianli Xu Joo-Hwee Lim VGen DiffM 21 5 0 14 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation Siwei Zhang Yun Xiong Yao Zhang Xixi Wu Yiheng Sun Jiawei Zhang AI4TS 10 4 0 05 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark Jan Tonshoff Martin Ritzert Eran Rosenbluth Martin Grohe 19 29 0 01 Sep 2023
Structural Node Embeddings with Homomorphism Counts Hinrikus Wolf Luca Oeljeklaus Pascal Kuhner Martin Grohe 17 3 0 29 Aug 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs P. Phothilimthana Sami Abu-El-Haija Kaidi Cao Bahare Fatemi Mike Burrows Charith Mendis Bryan Perozzi GNN AI4TS 12 15 0 25 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 15 4 0 22 Aug 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning Bahare Fatemi Sami Abu-El-Haija Anton Tsitsulin Seyed Mehran Kazemi Dustin Zelle Neslihan Bulut Jonathan J. Halcrow Bryan Perozzi 43 9 0 21 Aug 2023
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity Van Thuy Hoang O-Joun Lee 17 11 0 18 Aug 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 23 13 0 14 Jul 2023
ChiENN: Embracing Molecular Chirality with Graph Neural Networks Piotr Gaiñski Michał Koziarski Jacek Tabor Marek Śmieja GNN 19 3 0 05 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 16 81 0 03 Jul 2023