Saved in:
| Main Authors: | Waghmare, Govind, Leel, Srini Rohan Gujulla, Tumbde, Nikhil, G, Sumedh B, Gupta, Sonia, Bedathur, Srikanta |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.00596 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Graph Understanding with LLMs via Structured Context Injection
by: Waghmare, Govind, et al.
Published: (2025)
by: Waghmare, Govind, et al.
Published: (2025)
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
by: Gupta, Shubham, et al.
Published: (2024)
by: Gupta, Shubham, et al.
Published: (2024)
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
by: Agarwal, Sidharth, et al.
Published: (2025)
by: Agarwal, Sidharth, et al.
Published: (2025)
CGLE: Class-label Graph Link Estimator for Link Prediction
by: Mazumder, Ankit, et al.
Published: (2025)
by: Mazumder, Ankit, et al.
Published: (2025)
Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking
by: Singh, Rajat, et al.
Published: (2024)
by: Singh, Rajat, et al.
Published: (2024)
Differentiable Adversarial Attacks for Marked Temporal Point Processes
by: Chakraborty, Pritish, et al.
Published: (2025)
by: Chakraborty, Pritish, et al.
Published: (2025)
Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
by: J, Prachi, et al.
Published: (2025)
by: J, Prachi, et al.
Published: (2025)
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
by: Yarabolu, Vennela, et al.
Published: (2024)
by: Yarabolu, Vennela, et al.
Published: (2024)
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
by: Gupta, Arman, et al.
Published: (2025)
by: Gupta, Arman, et al.
Published: (2025)
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion
by: Mishra, Sahil, et al.
Published: (2026)
by: Mishra, Sahil, et al.
Published: (2026)
Revisiting the Role of Natural Language Code Comments in Code Translation
by: Gupta, Monika, et al.
Published: (2026)
by: Gupta, Monika, et al.
Published: (2026)
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
by: Waghmare, Govind, et al.
Published: (2022)
by: Waghmare, Govind, et al.
Published: (2022)
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
Graph Attention for Heterogeneous Graphs with Positional Encoding
by: Nayak, Nikhil Shivakumar
Published: (2025)
by: Nayak, Nikhil Shivakumar
Published: (2025)
Physics-Informed Neural Networks with Fourier Features and Attention-Driven Decoding
by: Arni, Rohan, et al.
Published: (2025)
by: Arni, Rohan, et al.
Published: (2025)
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)
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)
by: Huang, Zhixin, et al.
Published: (2024)
Flow-Attentional Graph Neural Networks
by: Plettenberg, Pascal, et al.
Published: (2025)
by: Plettenberg, Pascal, et al.
Published: (2025)
ParamANN: A Neural Network to Estimate Cosmological Parameters for $Λ$CDM Universe Using Hubble Measurements
by: Pal, Srikanta, et al.
Published: (2023)
by: Pal, Srikanta, et al.
Published: (2023)
Edge Attention Module for Object Classification
by: Roy, Santanu, et al.
Published: (2025)
by: Roy, Santanu, et al.
Published: (2025)
Kernel Embeddings and the Separation of Measure Phenomenon
by: Santoro, Leonardo V., et al.
Published: (2025)
by: Santoro, Leonardo V., et al.
Published: (2025)
Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks
by: Bhat, Rabia Latief, et al.
Published: (2025)
by: Bhat, Rabia Latief, et al.
Published: (2025)
A Temporally Augmented Graph Attention Network for Affordance Classification
by: Chopra, Ami, et al.
Published: (2026)
by: Chopra, Ami, et al.
Published: (2026)
Transductive Spiking Graph Neural Networks for Loihi
by: Snyder, Shay, et al.
Published: (2024)
by: Snyder, Shay, et al.
Published: (2024)
GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses
by: Lischka, Attila, et al.
Published: (2026)
by: Lischka, Attila, et al.
Published: (2026)
SGAT‐SP: Sparse Graph Attention Network for Stock Prediction
by: Gautam Gupta, et al.
Published: (2026)
by: Gautam Gupta, et al.
Published: (2026)
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
by: Wu, Xinyi, et al.
Published: (2023)
by: Wu, Xinyi, et al.
Published: (2023)
LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification
by: Sharma, Ankit, et al.
Published: (2025)
by: Sharma, Ankit, et al.
Published: (2025)
TEMPORA: Efficient Verification of Metric Temporal Properties with Past in Pointwise Semantics
by: Akshay, S., et al.
Published: (2025)
by: Akshay, S., et al.
Published: (2025)
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
by: Zheng, Zhi, et al.
Published: (2025)
by: Zheng, Zhi, et al.
Published: (2025)
Cohen-Macauleyness of the Zero-Divisor Graph of a Boolean Poset
by: Waghmare, P., et al.
Published: (2025)
by: Waghmare, P., et al.
Published: (2025)
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
by: Huang, Siyuan, et al.
Published: (2024)
by: Huang, Siyuan, et al.
Published: (2024)
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2022)
by: Zhu, Rui-Jie, et al.
Published: (2022)
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
by: Zhang, Tianqing, et al.
Published: (2025)
by: Zhang, Tianqing, et al.
Published: (2025)
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
by: Kim, Minje, et al.
Published: (2025)
by: Kim, Minje, et al.
Published: (2025)
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
by: Li, Quanjiang, et al.
Published: (2026)
by: Li, Quanjiang, et al.
Published: (2026)
Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention
by: Gupta, Shreyam, et al.
Published: (2025)
by: Gupta, Shreyam, et al.
Published: (2025)
Graph Kernel Neural Networks
by: Cosmo, Luca, et al.
Published: (2021)
by: Cosmo, Luca, et al.
Published: (2021)
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
by: Sasal, Lena, et al.
Published: (2024)
by: Sasal, Lena, et al.
Published: (2024)
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
by: Yang, Liudi, et al.
Published: (2025)
by: Yang, Liudi, et al.
Published: (2025)
Similar Items
-
Efficient Graph Understanding with LLMs via Structured Context Injection
by: Waghmare, Govind, et al.
Published: (2025) -
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
by: Gupta, Shubham, et al.
Published: (2024) -
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
by: Agarwal, Sidharth, et al.
Published: (2025) -
CGLE: Class-label Graph Link Estimator for Link Prediction
by: Mazumder, Ankit, et al.
Published: (2025) -
Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking
by: Singh, Rajat, et al.
Published: (2024)