深度学习 · graph neural networks论文趋势 2023–2026

ICML/NeurIPS 深度学习方向：graph_neural_networks

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,648 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

深度学习 · graph neural networks论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234896814823728
2024160517610297
2025915014115297
20261023216824326

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部深度学习 · graph neural networks论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 842 篇，第 6 / 17 页

  1. NeurIPS 2024FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
  2. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
  3. NeurIPS 2024GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
  4. NeurIPS 2024Generalizing CNNs to graphs with learnable neighborhood quantization
  5. NeurIPS 2024Generative Semi-supervised Graph Anomaly Detection
  6. NeurIPS 2024Geometric Trajectory Diffusion Models
  7. NeurIPS 2024Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
  8. NeurIPS 2024GFT: Graph Foundation Model with Transferable Tree Vocabulary
  9. NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
  10. NeurIPS 2024Gradient Rewiring for Editable Graph Neural Network Training
  11. NeurIPS 2024GRANOLA: Adaptive Normalization for Graph Neural Networks
  12. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
  13. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
  14. NeurIPS 2024Graph Convolutions Enrich the Self-Attention in Transformers!
  15. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
  16. NeurIPS 2024Graph Learning for Numeric Planning
  17. NeurIPS 2024Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
  18. NeurIPS 2024Graph Neural Networks and Arithmetic Circuits
  19. NeurIPS 2024Graph neural networks and non-commuting operators
  20. NeurIPS 2024Graph Neural Networks Do Not Always Oversmooth
  21. NeurIPS 2024Graph Neural Networks Need Cluster-Normalize-Activate Modules
  22. NeurIPS 2024Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
  23. NeurIPS 2024Graphcode: Learning from multiparameter persistent homology using graph neural networks
  24. NeurIPS 2024GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
  25. NeurIPS 2024GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
  26. NeurIPS 2024GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
  27. NeurIPS 2024Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
  28. NeurIPS 2024HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
  29. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
  30. NeurIPS 2024HGDL: Heterogeneous Graph Label Distribution Learning
  31. NeurIPS 2024If You Want to Be Robust, Be Wary of Initialization
  32. NeurIPS 2024Improving Generalization of Dynamic Graph Learning via Environment Prompt
  33. NeurIPS 2024Improving Temporal Link Prediction via Temporal Walk Matrix Projection
  34. NeurIPS 2024InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
  35. NeurIPS 2024Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
  36. NeurIPS 2024IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
  37. NeurIPS 2024Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
  38. NeurIPS 2024Iterative Methods via Locally Evolving Set Process
  39. NeurIPS 2024Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
  40. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
  41. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
  42. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
  43. NeurIPS 2024Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
  44. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
  45. NeurIPS 2024Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
  46. NeurIPS 2024LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
  47. NeurIPS 2024Logical characterizations of recurrent graph neural networks with reals and floats
  48. NeurIPS 2024Long-range Brain Graph Transformer
  49. NeurIPS 2024Long-range Meta-path Search on Large-scale Heterogeneous Graphs
  50. NeurIPS 2024Mixture of Link Predictors on Graphs

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用 paperlist 查深度学习 · graph neural networks在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "dl-graph-neural-networks"}

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常见问题

2023–2026 年四大会议一共有多少篇深度学习 · graph neural networks论文？
共 1,648 篇，按年份分别是 2023 年 728 篇、2024 年 297 篇、2025 年 297 篇、2026 年 326 篇。
NeurIPS 2026 有多少篇深度学习 · graph neural networks论文？
NeurIPS 2026 有 102 篇深度学习 · graph neural networks论文，上一届是 91 篇。
ICLR 2026 有多少篇深度学习 · graph neural networks论文？
ICLR 2026 有 32 篇深度学习 · graph neural networks论文，上一届是 50 篇。
ICML 2026 有多少篇深度学习 · graph neural networks论文？
ICML 2026 有 168 篇深度学习 · graph neural networks论文，上一届是 141 篇。
CVPR 2026 有多少篇深度学习 · graph neural networks论文？
CVPR 2026 有 24 篇深度学习 · graph neural networks论文，上一届是 15 篇。
哪个会议的深度学习 · graph neural networks论文最多？
NeurIPS，2023–2026 年共 842 篇。

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