Methods › Graphs › Graph Models › DGCNN
Deep Graph Convolutional Neural Network
DGCNN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
DGCNN involves neural networks that read the graphs directly and learn a classification function. There are two main challenges: 1) how to extract useful features characterizing the rich information encoded in a graph for classification purpose, and 2) how to sequentially read a graph in a meaningful and consistent order. To address the first challenge, we design a localized graph convolution model and show its connection with two graph kernels. To address the second challenge, we design a novel SortPooling layer which sorts graph vertices in a consistent order so that traditional neural networks can be trained on the graphs.
Description and image from: An End-to-End Deep Learning Architecture for Graph Classification
Papers archive 2025-07-28
30 shown of 49, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search 7 Jun 2025 · 1 repository · arXiv:2506.06906
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Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes 25 Apr 2025 · 0 repositories · arXiv:2504.18355
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Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds 31 Mar 2025 · 1 repository · arXiv:2503.23647
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AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning 2 Jan 2025 · 1 repository
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Impact of color and mixing proportion of synthetic point clouds on semantic segmentation 26 Dec 2024 · 1 repository · arXiv:2412.19145
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Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach 19 Sep 2024 · 0 repositories · arXiv:2409.12379
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HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices 23 Aug 2024 · 0 repositories · arXiv:2408.12840
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MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning 8 Jul 2024 · 1 repository · arXiv:2407.05550
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Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds 24 Mar 2024 · 1 repository
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Locating and Mitigating Gender Bias in Large Language Models 21 Mar 2024 · 0 repositories · arXiv:2403.14409
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epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition 11 Mar 2024 · 2 repositories · arXiv:2403.06661
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A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks 7 Feb 2024 · 0 repositories · arXiv:2402.04515
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CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification 1 Jan 2024 · 0 repositories
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Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding 8 Dec 2023 · 1 repository · arXiv:2312.05220
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Technical Report of 2023 ABO Fine-grained Semantic Segmentation Competition 30 Sep 2023 · 0 repositories · arXiv:2310.00427
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GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network 27 Sep 2023 · 3 repositories · arXiv:2309.15515
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MiliPoint: A Point Cloud Dataset for mmWave Radar 26 Sep 2023 · 1 repository
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A Tiny Machine Learning Model for Point Cloud Object Classification 20 Mar 2023 · 0 repositories · arXiv:2303.10898
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Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms 20 Mar 2023 · 0 repositories · arXiv:2303.10875
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DepGraph: Towards Any Structural Pruning 30 Jan 2023 · 1 repository · arXiv:2301.12900Syntology ran 1 of 7 samples · 6 unverified
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TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis 26 Nov 2022 · 1 repository · arXiv:2211.14456Syntology ran 3 of 10 samples · 7 unverified
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Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds 31 Oct 2022 · 0 repositories · arXiv:2210.17009
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Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis 28 Oct 2022 · 1 repository · arXiv:2210.15904Syntology ran 1 of 4 samples · 3 unverified
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Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks 19 Oct 2022 · 0 repositories · arXiv:2210.14164
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SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation 13 Sep 2022 · 1 repository · arXiv:2209.05924
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Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations 26 Jul 2022 · 0 repositories · arXiv:2207.12984
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AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing 9 Jun 2022 · 0 repositories · arXiv:2206.04689
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Efficient Human Pose Estimation via 3D Event Point Cloud 9 Jun 2022 · 1 repository · arXiv:2206.04511Syntology ran 4 of 8 samples · 4 unverified
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Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments 16 May 2022 · 0 repositories · arXiv:2205.07479
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Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis 14 Apr 2022 · 0 repositories · arXiv:2204.06931
Tasks archive 2025-07-28
20 shown of 81 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections