https://research.google/pubs/heterogenous-graph-neural-networks-for-species-distribution-modeling/
Heterogeneous graph neural networks for species distribution modeling
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https://webthesis.biblio.polito.it/41525/?template=default
Graph Neural Networks to Clean Empirical Covariance Matrices and Applications to Portfolio...
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https://i3a.unizar.es/es/actualidad/alicia-tierz-latasa-thermodynamics-informed-graph-neural-networks-development-cognitive
Alicia Tierz Latasa: Thermodynamics‑Informed Graph Neural Networks for the Development of Cognitive...
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https://underline.io/lecture/67770-signed-laplacian-graph-neural-networks
Signed Laplacian Graph Neural Networks | Underline
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https://liner.com/ko/review/orthogonal-graph-neural-networks
Orthogonal Graph Neural Networks [논문 퀵 리뷰]
이 AAAI 2021 논문에 관하여, 이 리뷰는 feature transformation orthogonality를 보장하여 GNN을 안정화시키는 새로운 orthogonal graph convolution인 Ortho-GConv를 요약합니다.
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https://www.ijcai.org/proceedings/2024/391
A Logic for Reasoning about Aggregate-Combine Graph Neural Networks | IJCAI
Electronic proceedings of IJCAI 2024
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https://pure.ecnu.edu.cn/zh/publications/learning-prioritized-node-wise-message-propagation-in-graph-neura-2/
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract) -...
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https://isg-journal.com/isjea/article/view/1210?articlesBySimilarityPage=8
Application of graph neural networks for transport route analysis | International Science Journal...
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https://odr.chalmers.se/items/11c8cedd-d13d-457e-ae4d-de3a9ec9e9cf/full
Graph Neural Networks for Mobile Robots: A Systemic GNN Design Solution for Traffic in AGV Systems
Automated Guided Vehicle (AGV) systems improve modern warehouse efficiency but require extensive effort in designing the virtual road networks (also known as...
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https://pure.ecnu.edu.cn/en/publications/learning-prioritized-node-wise-message-propagation-in-graph-neura/
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks - East China Normal...
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https://scholars.hkmu.edu.hk/en/publications/jointly-modeling-intra-and-inter-session-dependencies-with-graph-/
Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based...
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https://cuk.elsevierpure.com/en/publications/pre-training-graph-neural-networks-on-molecules-by-using-subgraph/fingerprints/
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information...
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https://blog.tensorflow.org/2021/11/introducing-tensorflow-gnn.html?authuser=3&hl=tr
Introducing TensorFlow Graph Neural Networks — The TensorFlow Blog
Introducing TensorFlow GNN, a library to build Graph Neural Networks on the TensorFlow platform.
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https://proceedings.neurips.cc/paper_files/paper/2020/file/c5c3d4fe6b2cc463c7d7ecba17cc9de7-MetaReview.html
Review for NeurIPS paper: Design Space for Graph Neural Networks
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https://arxiv.org/abs/2505.14699
[2505.14699] Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs
Abstract page for arXiv paper 2505.14699: Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs
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https://proceedings.iclr.cc/paper_files/paper/2025/hash/64d4ff4fff788cdffe236f9ce8b09400-Abstract-Conference.html
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
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https://cxquest.com/tag/graph-neural-networks/
Graph Neural Networks Archives - CX Quest
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https://jcst.ict.ac.cn/article/doi/10.1007/s11390-026-5943-0
Learning Code Anomalies for Bug Detection with Graph Neural Networks
This paper proposes Adl, a neural network-based approach that learns to detect bugs as anomalies. Compared with the classical anomaly detection approach, Adl...
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https://liner.com/ko/review/superglue-learning-feature-matching-with-graph-neural-networks
SuperGlue: Learning Feature Matching With Graph Neural Networks [논문 퀵 리뷰]
이 CVPR 2019 논문에 대해, 이 리뷰는 강력한 특징 매칭 및 자세 추정을 위한 GNN 기반 방법인 SuperGlue를 요약합니다.
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https://world-wide.org/seminar/graph-neural-networks-foundation-jy5vm6mn
Graph Neural Networks and Foundation Models for Complex Networks - World Wide
Yixuan He (Arizona State University) considers graph neural networks for social, financial and biological networks in which edge signs and directions contain…
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https://indico.ph.tum.de/event/7589/timetable/
4th GraphNeT Workshop: Graph Neural Networks and Beyond (6-May 9, 2024): Timetable · Indico Server...
What is it about? This is the fourth workshop dedicated to GraphNeT – A deep learning library for neutrino telescopes. The goal is to bring together...
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https://liner.com/review/dfagnn-forward-learning-of-graph-neural-networks-by-direct-feedback
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment [Quick Review]
Regarding this NeurIPS 2024 paper, this review summarizes DFA-GNN, a novel forward learning framework for GNNs that overcomes backpropagation limitations.
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https://www.sec.in.tum.de/i20/student-work/vulnerability-detection-in-source-code-using-graph-neural-networks-on-code-property-graphs
Vulnerability Detection in Source Code using Graph Neural Networks on Code Property Graphs — Chair...
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https://elmi.hbku.edu.qa/en/publications/deep-learning-transformers-and-graph-neural-networks-a-linear-alg/
Deep learning, transformers and graph neural networks: a linear algebra perspective - Hamad Bin...
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https://www.oaepublish.com/articles/jmi.2023.10
Graph neural networks for molecular and materials representation
Material molecular representation (MMR) plays an important role in material property or chemical reaction prediction. However, traditional expert-designed MMR...
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https://liu.diva-portal.org/smash/record.jsf?pid=diva2%3A1647780
Video Instance Segmentation with Recurrent Graph Neural Networks
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https://www.taylortjohnson.com/bibtexbrowser.php?key=tumlin2026saiv&bib=johnson_taylor_t.bib
Reachability-Based Formal Verification of Graph Neural Networks with Node and Edge Features (bibtex)
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https://bsic.it/tag/graph-neural-networks/
Graph Neural Networks – BSIC | Bocconi Students Investment Club
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https://researchwith.njit.edu/en/publications/evaluating-graph-neural-networks-for-link-prediction-current-pitf-2/
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking - New...
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https://miscj.aut.ac.ir/article_5917.html
Neuro-Symbolic Claim Detection for Arabic: Integrating Graph Neural Networks with Efficiently...
The rise in online information has increased the spread of misinformation and disinformation, which makes claim detection important for the reliability of...
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https://zhongyuanzhao.com/publications/2024-03-25-gnn-in-ee-nature-reviews.html
Opportunities and Challenges of Graph Neural Networks in Electrical Engineering - Zhongyuan Zhao,...
Mar 25, 2024 - Review of how Graph Neural Networks are employed to address some selected application questions in Electrical Engineering, including electrical automatic...
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https://journals.mriindia.com/index.php/itsiteee/article/view/2819
A Survey of Methods and Architectures for Graph Neural Networks with Optimized Attention and...
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https://webofproceedings.org/proceedings_series/article/artId/24744.html
Martial Arts Pose Estimation via Combined Convolutional and Graph Neural Networks
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https://scholars.nthu.edu.tw/esploro/outputs/journalArticle/Modeling-Cross-session-Information-with-Multi-interest-Graph/9957769087406774?institution=886UST_NTHU&skipUsageReporting=true&recordUsage=false
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item...
Next-item recommendation involves predicting the next item of interest of a given user from their past behavior. Users tend to browse and purchase various...
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https://cryptgo.co/knowledge/how_do_graph_neural_networks_power_crypto_wallet_clustering_for_blockchain_forensics.php
How do graph neural networks power crypto wallet clustering for blockchain forensics? | cryptgo.co
Aug 31, 2026 - Introduction to Graph Neural Networks in Blockchain Forensics Public ledger architectures record every transaction in a permanent, verifiable manner...
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https://gnn.seas.upenn.edu/contact/
Material Index – Graph Neural Networks
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https://scholar.xjtu.edu.cn/en/publications/adversarial-attacks-on-fairness-of-graph-neural-networks/
ADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS - Xi'an Jiaotong University
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https://liner.com/ko/review/gptst-generative-pretraining-of-spatiotemporal-graph-neural-networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks [논문 퀵 리뷰]
이 NeurIPS 2023 논문에 관하여, 이 리뷰는 향상된 예측을 위해 masked autoencoding을 사용하는 시공간 사전 학습 프레임워크인 GPT-ST를 요약합니다.
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https://elib.dlr.de/196833/
electronic library - Predicting Winning Regions in Parity Games via Graph Neural Networks
Deutsches Zentrum für Luft- und Raumfahrt e.V., eLib - DLR electronic library
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https://proceedings.neurips.cc/paper_files/paper/2022/hash/c76f18e65d16cd2786e50a88db00cde4-Abstract-Conference.html
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
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