Saved in:
| Main Authors: | Cao, Linfeng, Deng, Haoran, Yang, Yang, Wang, Chunping, Chen, Lei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.09565 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)
by: Fang, Taoran, et al.
Published: (2022)
Billion-Scale Graph Foundation Models
by: Bechler-Speicher, Maya, et al.
Published: (2026)
by: Bechler-Speicher, Maya, et al.
Published: (2026)
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
by: Liu, Yong, et al.
Published: (2026)
by: Liu, Yong, et al.
Published: (2026)
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2025)
by: Fang, Taoran, et al.
Published: (2025)
Graph Similarity Computation via Interpretable Neural Node Alignment
by: Wang, Jingjing, et al.
Published: (2024)
by: Wang, Jingjing, et al.
Published: (2024)
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
by: Hu, Wenbin, et al.
Published: (2024)
by: Hu, Wenbin, et al.
Published: (2024)
Active Sampling for Node Attribute Completion on Graphs
by: Liu, Benyuan, et al.
Published: (2025)
by: Liu, Benyuan, et al.
Published: (2025)
MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
by: Zhao, Dongfang
Published: (2026)
by: Zhao, Dongfang
Published: (2026)
AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
by: Huang, Haoyu, et al.
Published: (2025)
by: Huang, Haoyu, et al.
Published: (2025)
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
by: Zhao, Chenran, et al.
Published: (2026)
by: Zhao, Chenran, et al.
Published: (2026)
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)
by: Cheng, Xu, et al.
Published: (2025)
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
by: Li, Zhuolong, et al.
Published: (2026)
by: Li, Zhuolong, et al.
Published: (2026)
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
by: Chen, Yuhan, et al.
Published: (2025)
by: Chen, Yuhan, et al.
Published: (2025)
Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification
by: Wang, Guan, et al.
Published: (2026)
by: Wang, Guan, et al.
Published: (2026)
Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation
by: Ji, Haoyu, et al.
Published: (2025)
by: Ji, Haoyu, et al.
Published: (2025)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)
by: Luo, Yihong, et al.
Published: (2024)
Pure Node Selection for Imbalanced Graph Node Classification
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments
by: Deng, Yinan, et al.
Published: (2024)
by: Deng, Yinan, et al.
Published: (2024)
Explaining Graph Neural Networks for Node Similarity on Graphs
by: Daza, Daniel, et al.
Published: (2024)
by: Daza, Daniel, et al.
Published: (2024)
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability
by: Wang, Yixuan, et al.
Published: (2024)
by: Wang, Yixuan, et al.
Published: (2024)
Sequences as Nodes for Contrastive Multimodal Graph Recommendation
by: Sahyouni, Bucher, et al.
Published: (2026)
by: Sahyouni, Bucher, et al.
Published: (2026)
Representing Web Applications As Knowledge Graphs
by: Chandrasekharuni, Yogesh
Published: (2024)
by: Chandrasekharuni, Yogesh
Published: (2024)
Cross-Scenario Unified Modeling of User Interests at Billion Scale
by: Xu, Manjie, et al.
Published: (2025)
by: Xu, Manjie, et al.
Published: (2025)
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
by: Bagheri, Abdolmahdi, et al.
Published: (2024)
by: Bagheri, Abdolmahdi, et al.
Published: (2024)
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
by: Lu, Weigang, et al.
Published: (2024)
by: Lu, Weigang, et al.
Published: (2024)
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)
by: Chen, Jinsong, et al.
Published: (2025)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
Generate Point Clouds with Multiscale Details from Graph-Represented Structures
by: Yang, Ximing, et al.
Published: (2021)
by: Yang, Ximing, et al.
Published: (2021)
Hypergraph-Based Dynamic Graph Node Classification
by: Ma, Xiaoxu, et al.
Published: (2024)
by: Ma, Xiaoxu, et al.
Published: (2024)
Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)
by: Wang, Haoran, et al.
Published: (2024)
Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
by: Wang, Hongtao, et al.
Published: (2026)
by: Wang, Hongtao, et al.
Published: (2026)
HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
by: Huang, Yuqi, et al.
Published: (2026)
by: Huang, Yuqi, et al.
Published: (2026)
Neural Graph Matching for Video Retrieval in Large-Scale Video-driven E-commerce
by: Ji, Houye, et al.
Published: (2024)
by: Ji, Houye, et al.
Published: (2024)
Zenith: Scaling up Ranking Models for Billion-scale Livestreaming Recommendation
by: Zhang, Ruifeng, et al.
Published: (2026)
by: Zhang, Ruifeng, et al.
Published: (2026)
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
by: Li, Runze, et al.
Published: (2025)
by: Li, Runze, et al.
Published: (2025)
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)
by: Liu, Yezi, et al.
Published: (2024)
Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Similar Items
-
Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022) -
Billion-Scale Graph Foundation Models
by: Bechler-Speicher, Maya, et al.
Published: (2026) -
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
by: Liu, Yong, et al.
Published: (2026) -
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2025) -
Graph Similarity Computation via Interpretable Neural Node Alignment
by: Wang, Jingjing, et al.
Published: (2024)