Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens
Fuente:
arXiv
Saved in:
| Main Authors: | Marcoccia, Félix, Adjih, Cédric, Mühlethaler, Paul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
by: Marcoccia, Félix, et al.
Published: (2024)
by: Marcoccia, Félix, et al.
Published: (2024)
Graph Neural Network for Crawling Target Nodes in Social Networks
by: Lukyanov, Kirill, et al.
Published: (2024)
by: Lukyanov, Kirill, et al.
Published: (2024)
Graph Vertex Embeddings: Distance, Regularization and Community Detection
by: Nowak, Radosław, et al.
Published: (2024)
by: Nowak, Radosław, et al.
Published: (2024)
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
by: Niu, Yanan, et al.
Published: (2025)
by: Niu, Yanan, et al.
Published: (2025)
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
by: Zanardini, Damiano, et al.
Published: (2024)
by: Zanardini, Damiano, et al.
Published: (2024)
Longitudinal Sentiment Classification of Reddit Posts
by: Nwaoha, Fabian, et al.
Published: (2024)
by: Nwaoha, Fabian, et al.
Published: (2024)
Exploratory Factory Analysis of the Centrality Metrics for Complex Real-World Networks
by: Meghanathan, Natarajan
Published: (2024)
by: Meghanathan, Natarajan
Published: (2024)
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
by: Perozzi, Bryan, et al.
Published: (2024)
by: Perozzi, Bryan, et al.
Published: (2024)
Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User Interactions
by: Siahkali, Farbod, et al.
Published: (2024)
by: Siahkali, Farbod, et al.
Published: (2024)
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021)
by: Cai, Xinjun, et al.
Published: (2021)
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
Graph-based Fake Account Detection: A Survey
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
Feature-aware Modulation for Learning from Temporal Tabular Data
by: Cai, Hao-Run, et al.
Published: (2025)
by: Cai, Hao-Run, et al.
Published: (2025)
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting
by: Qin, Liyang, et al.
Published: (2025)
by: Qin, Liyang, et al.
Published: (2025)
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023)
by: Belal, Yacine, et al.
Published: (2023)
Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
by: Dam, Harvey, et al.
Published: (2025)
by: Dam, Harvey, et al.
Published: (2025)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
by: Poonia, Harsh, et al.
Published: (2025)
by: Poonia, Harsh, et al.
Published: (2025)
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
by: Kraus, Maurice, et al.
Published: (2024)
by: Kraus, Maurice, et al.
Published: (2024)
Improving the Expressiveness of $K$-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
by: Yao, Tianjun, et al.
Published: (2024)
by: Yao, Tianjun, et al.
Published: (2024)
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)
by: Nishiyama, Daiki, et al.
Published: (2022)
A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023)
by: Kaufmann, Timo, et al.
Published: (2023)
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
by: Palma, Guilherme, et al.
Published: (2025)
by: Palma, Guilherme, et al.
Published: (2025)
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Suppressing Domain-Specific Hallucination in Construction LLMs: A Knowledge Graph Foundation for GraphRAG and QLoRA on River and Sediment Control Technical Standards
by: Yasuno, Takato
Published: (2026)
by: Yasuno, Takato
Published: (2026)
Real-Time Pulsatile Flow Prediction for Realistic, Diverse Intracranial Aneurysm Morphologies using a Graph Transformer and Steady-Flow Data Augmentation
by: Sheng, Yiying, et al.
Published: (2026)
by: Sheng, Yiying, et al.
Published: (2026)
Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
by: David, Daniel
Published: (2025)
by: David, Daniel
Published: (2025)
QuAnTS: Question Answering on Time Series
by: Divo, Felix, et al.
Published: (2025)
by: Divo, Felix, et al.
Published: (2025)
Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms
by: Shen, Jingran, et al.
Published: (2023)
by: Shen, Jingran, et al.
Published: (2023)
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)
by: Bui, Thanh Dan
Published: (2025)
Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions
by: Xue, Tao, et al.
Published: (2025)
by: Xue, Tao, et al.
Published: (2025)
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
by: Gao, Shan, et al.
Published: (2025)
by: Gao, Shan, et al.
Published: (2025)
Adaptable Hindsight Experience Replay for Search-Based Learning
by: Vazaios, Alexandros, et al.
Published: (2025)
by: Vazaios, Alexandros, et al.
Published: (2025)
Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures
by: Scrivens, Arsenios
Published: (2026)
by: Scrivens, Arsenios
Published: (2026)
SURE-RAG: Sufficiency and Uncertainty-Aware Evidence Verification for Selective Retrieval-Augmented Generation
by: Qiu, Jingxi, et al.
Published: (2026)
by: Qiu, Jingxi, et al.
Published: (2026)
Perceptron Collaborative Filtering
by: Chakraborty, Arya
Published: (2024)
by: Chakraborty, Arya
Published: (2024)
SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference
by: Chauhan, Anay, et al.
Published: (2026)
by: Chauhan, Anay, et al.
Published: (2026)
PRISM: Iterative Cross-Modal Posterior Refinement for Dynamic Text-Attributed Graphs
by: Chang, Trimble, et al.
Published: (2026)
by: Chang, Trimble, et al.
Published: (2026)
2Mamba2Furious: Linear in Complexity, Competitive in Accuracy
by: Mongaras, Gabriel, et al.
Published: (2026)
by: Mongaras, Gabriel, et al.
Published: (2026)
Similar Items
-
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
by: Marcoccia, Félix, et al.
Published: (2024) -
Graph Neural Network for Crawling Target Nodes in Social Networks
by: Lukyanov, Kirill, et al.
Published: (2024) -
Graph Vertex Embeddings: Distance, Regularization and Community Detection
by: Nowak, Radosław, et al.
Published: (2024) -
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
by: Niu, Yanan, et al.
Published: (2025) -
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
by: Zanardini, Damiano, et al.
Published: (2024)