Multimodal learning with graphs

7 September 2022

Papers citing "Multimodal learning with graphs"

35 / 35 papers shown

Title
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction Jay Lee Hanqi Su Dai-Yan Ji Takanobu Minami AI4CE 48 0 0 03 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 39 1 0 02 Apr 2025
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts Shiye Su Iulia Duta Lucie Charlotte Magister Pietro Lio' FAtt 29 0 0 10 Oct 2024
Boolean Product Graph Neural Networks Ziyan Wang Bin Liu Ling Xiang 48 0 0 21 Sep 2024
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice Qian Niu Keyu Chen Ming Li Pohsun Feng Ziqian Bi ... Junyu Liu Benji Peng Tianyang Wang Yunze Wang Silin Chen LM&MA 30 5 0 14 Sep 2024
Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations Zhuowen Zhao Xiaoya Chong Tanny Chavez Alexander Hexemer 34 1 0 22 Aug 2024
Heterogeneous graph attention network improves cancer multiomics integration Sina Tabakhi Charlotte Vandermeulen Ian Sudbery Haiping Lu 21 0 0 05 Aug 2024
Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning Ziteng Wang YaXuan He Bin Liu GNN 32 0 0 15 Jul 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 47 3 0 20 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 53 8 0 18 Jun 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey Jing Liu Yang Liu Jieyu Lin Jielin Li Peng Sun Bo Hu Liang Song Azzedine Boukerche Victor C.M. Leung Victor C.M. Leung 43 10 0 16 May 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification Delfina Sol Martinez Pandiani Nicolas Lazzari Valentina Presutti ViT 24 1 0 29 Feb 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 65 6 0 26 Feb 2024
Learning on Multimodal Graphs: A Survey Ciyuan Peng Jiayuan He Feng Xia 30 6 0 07 Feb 2024
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning Rahul Vishwakarma Amin Rezaei 32 2 0 15 Jan 2024
Mixture of multilayer stochastic block models for multiview clustering Kylliann De Santiago Marie Szafranski Christophe Ambroise 29 1 0 09 Jan 2024
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning Hao Xu Yifei Wang Yunrui Li Pengyu Hong Pengyu Hong 25 3 0 11 Nov 2023
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs Nedelina Teneva Estevam R. Hruschka 15 1 0 10 Nov 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 21 3 0 20 Oct 2023
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets Aakash Tripathi Asim Waqas Kavya Venkatesan Yasin Yilmaz Ghulam Rasool AI4CE 24 14 0 30 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 22 12 0 29 Sep 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design Zaixin Zhang Jiaxian Yan Qi Liu Enhong Chen Marinka Zitnik 30 1 0 20 Jun 2023
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs Daniel Daza Dimitrios Alivanistos Payal Mitra Thom Pijnenburg Michael Cochez Paul T. Groth 27 7 0 06 Jun 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 32 31 0 11 Mar 2023
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications Muhammad Arslan Manzoor S. Albarri Ziting Xian Zaiqiao Meng Preslav Nakov Shangsong Liang AI4TS 21 26 0 01 Feb 2023
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 65 40 0 16 May 2022
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 35 35 0 08 Nov 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Learning Intuitive Physics with Multimodal Generative Models S. Rezaei-Shoshtari F. Hogan M. Jenkin D. Meger Gregory Dudek 64 9 0 12 Jan 2021
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 214 146 0 16 Mar 2020
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions Oytun Ulutan A S M Iftekhar B. S. Manjunath 61 205 0 11 Mar 2020
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 266 457 0 30 Nov 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 249 1,944 0 09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 166 1,775 0 02 Mar 2017