Saved in:
| Main Authors: | Cui, Kaiyuan, Wang, Xinyan, Zhang, Zicheng, Zhao, Weichen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.20221 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)
by: Du, Lin, et al.
Published: (2025)
Multimodal Representation Learning using Adaptive Graph Construction
by: Huang, Weichen
Published: (2024)
by: Huang, Weichen
Published: (2024)
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)
by: Zhao, Songwei, et al.
Published: (2025)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)
by: Gu, Xizhi, et al.
Published: (2024)
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)
by: Fan, Shaohua, et al.
Published: (2021)
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
by: Zheng, Ziyu, et al.
Published: (2026)
by: Zheng, Ziyu, et al.
Published: (2026)
Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
by: Tao, Shilong, et al.
Published: (2026)
by: Tao, Shilong, et al.
Published: (2026)
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
by: Zhang, Shengtao, et al.
Published: (2025)
by: Zhang, Shengtao, et al.
Published: (2025)
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
by: Schneckenreiter, Lisa, et al.
Published: (2024)
by: Schneckenreiter, Lisa, et al.
Published: (2024)
Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation
by: Xiao, Yang, et al.
Published: (2026)
by: Xiao, Yang, et al.
Published: (2026)
Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs
by: Yan, Hao, et al.
Published: (2026)
by: Yan, Hao, et al.
Published: (2026)
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)
by: Zhao, Zhehan, et al.
Published: (2024)
Non-Euclidean Spatial Graph Neural Network
by: Zhang, Zheng, et al.
Published: (2023)
by: Zhang, Zheng, et al.
Published: (2023)
Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)
by: Xu, Taihua, et al.
Published: (2026)
Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025)
by: Liu, Wenzhao, et al.
Published: (2025)
Recurrent Aggregators in Neural Algorithmic Reasoning
by: Xu, Kaijia, et al.
Published: (2024)
by: Xu, Kaijia, et al.
Published: (2024)
Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
by: Xie, Xuanting, et al.
Published: (2025)
by: Xie, Xuanting, et al.
Published: (2025)
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)
by: Zhao, Zhe, et al.
Published: (2024)
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023)
by: Dong, Xiangyu, et al.
Published: (2023)
CaberNet: Causal Representation Learning for Cross-Domain HVAC Energy Prediction
by: Zhai, Kaiyuan, et al.
Published: (2025)
by: Zhai, Kaiyuan, et al.
Published: (2025)
A Comparison of Methods for Neural Network Aggregation
by: Pomerat, John, et al.
Published: (2023)
by: Pomerat, John, et al.
Published: (2023)
Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)
by: Zhao, Xiaohui, et al.
Published: (2026)
Towards Scalable and Deep Graph Neural Networks via Noise Masking
by: Liang, Yuxuan, et al.
Published: (2024)
by: Liang, Yuxuan, et al.
Published: (2024)
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025)
by: Shen, Siqi, et al.
Published: (2025)
A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
by: Nunn, Pierre, et al.
Published: (2024)
by: Nunn, Pierre, et al.
Published: (2024)
Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)
by: Banik, Audri, et al.
Published: (2025)
MAT-MPNN: A Mobility-Aware Transformer-MPNN Model for Dynamic Spatiotemporal Prediction of HIV Diagnoses in California, Florida, and New England
by: Wang, Zhaoxuan, et al.
Published: (2025)
by: Wang, Zhaoxuan, et al.
Published: (2025)
Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)
by: Zhao, Tianyi, et al.
Published: (2024)
Knowledge Probing for Graph Representation Learning
by: Zhao, Mingyu, et al.
Published: (2024)
by: Zhao, Mingyu, et al.
Published: (2024)
GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)
by: Cui, Canyixing, et al.
Published: (2026)
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
by: Liu, Xiaogeng, et al.
Published: (2026)
by: Liu, Xiaogeng, et al.
Published: (2026)
Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)
by: Fang, Taoran, et al.
Published: (2022)
Towards Neural Scaling Laws on Graphs
by: Liu, Jingzhe, et al.
Published: (2024)
by: Liu, Jingzhe, et al.
Published: (2024)
An Effective Dynamic Gradient Calibration Method for Continual Learning
by: Lin, Weichen, et al.
Published: (2024)
by: Lin, Weichen, et al.
Published: (2024)
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
by: Sun, Fengsong, et al.
Published: (2024)
by: Sun, Fengsong, et al.
Published: (2024)
Global Evolutionary Steering: Refining Activation Steering Control via Cross-Layer Consistency
by: Jiang, Xinyan, et al.
Published: (2026)
by: Jiang, Xinyan, et al.
Published: (2026)
NN-Former: Rethinking Graph Structure in Neural Architecture Representation
by: Xu, Ruihan, et al.
Published: (2025)
by: Xu, Ruihan, et al.
Published: (2025)
Similar Items
-
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025) -
Multimodal Representation Learning using Adaptive Graph Construction
by: Huang, Weichen
Published: (2024) -
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025) -
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024) -
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)