Graph Neural Networks papers, 2023–2026

Key findings

• Graph Neural Networks fell from 434 papers in 2023 to 183 in 2026, so interest is cooling.
• NeurIPS publishes the most Graph Neural Networks work: 489 papers from 2023 to 2026, 47% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 10 in 2023 to 10 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #4 by 2026 paper count; the fastest grower in the group, Time Series, is up 3.2x versus 0.4x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
• ICML 2026Aitchison Embeddings for Learning Compositional Graph Representations
• ICLR 2026Certified Evaluation of Model-Level Explanations for Graph Neural Networks
• CVPR 2026Gamba Mamba-based graph convolutional network with dynamic graph topology learning
• NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
• ICML 2025Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
• ICLR 2025Edge Prompt Tuning for Graph Neural Networks
• CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
• NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
• ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
• ICLR 2024Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
• CVPR 2024FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
• NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
• ICML 2023Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
• ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
• CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
• NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
• ICML 2026Any-dimensional invariant universality
• ICLR 2026Laplacian Kernelized Bandit
• CVPR 2026Global-Aware Edge Prioritization for Pose Graph Initialization

All Graph Neural Networks papers

1,038 papers, page 13 of 21

601. NeurIPS 2024What do Graph Neural Networks learn? Insights from Tropical Geometry
602. NeurIPS 2024What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
603. NeurIPS 2024What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
604. NeurIPS 2024You Only Cache Once: Decoder-Decoder Architectures for Language Models
605. CVPR 2023Adaptive Graph Convolutional Subspace Clustering
606. CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
607. CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
608. CVPR 2023Deep Graph Reprogramming
609. CVPR 2023Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
610. CVPR 2023Deep Learning of Partial Graph Matching via Differentiable Top-K
611. CVPR 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
612. CVPR 2023High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
613. CVPR 2023Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering
614. CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
615. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
616. CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
617. CVPR 2023Sample-Level Multi-View Graph Clustering
618. CVPR 2023TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
619. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
620. CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
621. CVPR 2023Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
622. CVPR 2023VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
623. ICLR 2023$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
624. ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
625. ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
626. ICLR 2023A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
627. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
628. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
629. ICLR 2023ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
630. ICLR 2023Agent-based Graph Neural Networks
631. ICLR 2023Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
632. ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
633. ICLR 2023Are More Layers Beneficial to Graph Transformers?
634. ICLR 2023AutoGT: Automated Graph Transformer Architecture Search
635. ICLR 2023Automated Data Augmentations for Graph Classification
636. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
637. ICLR 2023Backpropagation through Combinatorial Algorithms: Identity with Projection Works
638. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
639. ICLR 2023Characterizing the Influence of Graph Elements
640. ICLR 2023CktGNN: Circuit Graph Neural Network for Electronic Design Automation
641. ICLR 2023Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
642. ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
643. ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
644. ICLR 2023EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
645. ICLR 2023Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
646. ICLR 2023Effects of Graph Convolutions in Multi-layer Networks
647. ICLR 2023Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
648. ICLR 2023Empowering Graph Representation Learning with Test-Time Graph Transformation
649. ICLR 2023Energy-based Out-of-Distribution Detection for Graph Neural Networks
650. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

FAQ

How many Graph Neural Networks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,038 in total: 434 in 2023, 208 in 2024, 213 in 2025, 183 in 2026.

How many Graph Neural Networks papers are at NeurIPS 2026?

NeurIPS 2026 has 74 Graph Neural Networks papers, versus 75 the year before.

How many Graph Neural Networks papers are at ICLR 2026?

ICLR 2026 has 28 Graph Neural Networks papers, versus 45 the year before.

How many Graph Neural Networks papers are at ICML 2026?

ICML 2026 has 68 Graph Neural Networks papers, versus 81 the year before.

How many Graph Neural Networks papers are at CVPR 2026?

CVPR 2026 has 13 Graph Neural Networks papers, versus 12 the year before.

Which conference publishes the most Graph Neural Networks papers?

NeurIPS, with 489 papers from 2023 to 2026.