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Graph Neural Networks

4,522 papers

Papers per year

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Papers

Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023
Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023
Graph-based Molecular Representation Learning IJCAI 2023
Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023
Optimized Crystallographic Graph Generation for Material Science IJCAI 2023
Imbalanced Node Classification Beyond Homophilic Assumption IJCAI 2023
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning INTERSPEECH 2023
EEG-based Auditory Attention Detection with Spatiotemporal Graph and Graph Convolutional Network INTERSPEECH 2023
Speaker Tracking using Graph Attention Networks with Varying Duration Utterances across Multi-Channel Naturalistic Data: Fearless Steps Apollo-11 Audio Corpus INTERSPEECH 2023
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews INTERSPEECH 2023
Another Point of View on Visual Speech Recognition INTERSPEECH 2023
Exploring the Impact of Back-End Network on Wav2vec 2.0 for Dialect Identification INTERSPEECH 2023
Benchmarking Graph Neural Networks JMLR 2023
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023
Graph Clustering with Graph Neural Networks JMLR 2023
Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023
Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023
Graph Attention Retrospective JMLR 2023
Weisfeiler and Leman go Machine Learning: The Story so far JMLR 2023
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients MIDL 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023