Deep learning · graph neural networks papers, 2023–2026

Key findings

• Deep learning · graph neural networks fell from 728 papers in 2023 to 326 in 2026, so interest is cooling.
• NeurIPS publishes the most Deep learning · graph neural networks work: 842 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 9 in 2023 to 20 in 2026.
• Among the 11 topics under Deep Learning, it ranks #5 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 0.4x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A New Perspective on Target-Conditioned Structural Dynamics for Link Prediction in Dynamic Graphs
• ICML 2026A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
• ICLR 2026Laplacian Kernelized Bandit
• CVPR 2026Gamba Mamba-based graph convolutional network with dynamic graph topology learning
• NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
• ICML 2025A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
• ICLR 2025Factor Graph-based Interpretable Neural Networks
• CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Learning Structure-from-Motion with Graph Attention Networks
• NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
• ICML 2023A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
• ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
• CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
• NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
• ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
• ICLR 2026GTool: Graph Enhanced Tool Planning with Large Language Model
• CVPR 2026GSNR Graph Smooth Null-Space Representation for Inverse Problems

All Deep learning · graph neural networks papers

1,648 papers, page 13 of 33

601. NeurIPS 2025Robust Graph Condensation via Classification Complexity Mitigation
602. NeurIPS 2025Self-Assembling Graph Perceptrons
603. NeurIPS 2025Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
604. NeurIPS 2025SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
605. NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
606. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
607. NeurIPS 2025Sound Logical Explanations for Mean Aggregation Graph Neural Networks
608. NeurIPS 2025Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
609. NeurIPS 2025Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
610. NeurIPS 2025TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
611. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
612. NeurIPS 2025The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
613. NeurIPS 2025The quest for the GRAph Level autoEncoder (GRALE)
614. NeurIPS 2025TopER: Topological Embeddings in Graph Representation Learning
615. NeurIPS 2025Topology-aware Graph Diffusion Model with Persistent Homology
616. NeurIPS 2025Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
617. NeurIPS 2025Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
618. NeurIPS 2025Towards Pre-trained Graph Condensation via Optimal Transport
619. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
620. NeurIPS 2025Universally Invariant Learning in Equivariant GNNs
621. NeurIPS 2025Unsupervised Federated Graph Learning
622. NeurIPS 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
623. NeurIPS 2025You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
624. CVPR 2024Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
625. CVPR 2024FastMAC: Stochastic Spectral Sampling of Correspondence Graph
626. CVPR 2024FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
627. CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
628. CVPR 2024HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
629. CVPR 2024Improving Graph Contrastive Learning via Adaptive Positive Sampling
630. CVPR 2024Learning Structure-from-Motion with Graph Attention Networks
631. CVPR 2024MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
632. CVPR 2024Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images
633. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
634. ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
635. ICLR 2024BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
636. ICLR 2024Clifford Group Equivariant Simplicial Message Passing Networks
637. ICLR 2024Conformal Inductive Graph Neural Networks
638. ICLR 2024Contrastive Learning is Spectral Clustering on Similarity Graph
639. ICLR 2024CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
640. ICLR 2024Counting Graph Substructures with Graph Neural Networks
641. ICLR 2024Deep Temporal Graph Clustering
642. ICLR 2024Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
643. ICLR 2024DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
644. ICLR 2024Effective Structural Encodings via Local Curvature Profiles
645. ICLR 2024Forward Learning of Graph Neural Networks
646. ICLR 2024From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
647. ICLR 2024GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
648. ICLR 2024Graph Lottery Ticket Automated
649. ICLR 2024Graph Metanetworks for Processing Diverse Neural Architectures
650. ICLR 2024Graph Neural Networks for Learning Equivariant Representations of Neural Networks

FAQ

How many Deep learning · graph neural networks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,648 in total: 728 in 2023, 297 in 2024, 297 in 2025, 326 in 2026.

How many Deep learning · graph neural networks papers are at NeurIPS 2026?

NeurIPS 2026 has 102 Deep learning · graph neural networks papers, versus 91 the year before.

How many Deep learning · graph neural networks papers are at ICLR 2026?

ICLR 2026 has 32 Deep learning · graph neural networks papers, versus 50 the year before.

How many Deep learning · graph neural networks papers are at ICML 2026?

ICML 2026 has 168 Deep learning · graph neural networks papers, versus 141 the year before.

How many Deep learning · graph neural networks papers are at CVPR 2026?

CVPR 2026 has 24 Deep learning · graph neural networks papers, versus 15 the year before.

Which conference publishes the most Deep learning · graph neural networks papers?

NeurIPS, with 842 papers from 2023 to 2026.