- Emerging Application.- UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.- MSAQE: A Large-scale Dataset for Multi-view Scenic Areas Quality Evaluation.- Experts2team: Task Relevance-Induced Team Formation by Combining Global Cohesion with Local Decoupling.- From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance.- RasterPIP: Answering Point-in-polygon Query with GPU-native Transformation and Rasterization.- A Universal Framework for Compressing Embeddings in CTR Prediction.- Fairness-Aware Ride-sharing Assignment.
- RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks.- Design and Implementation of Decentralized Data Protection Protocol for Generative AI.- Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models.- MVIC: Multi-View Information Collaborative Fusion for Drug-Drug Interaction Prediction.- Killing two birds with one stone: A Spatio-Temporal Prompt for the Inductive Traffic Extrapolation.- NLP .- PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency.- Enhancing Zero-shot Emotion Perception in Conversation through the Internal-to-External Chain-of Thought.
- Enhancing Multi-turn Dialogue Consistency with Localized-Generalized Persona Expansion.- Breaking Size Barrier: Enhancing Reasoning for Large-size Table Question Answering.- A Structure-aware Generative Model for Biomedical Event Extraction.- Asking Diversified Reasonable Questions with External Commonsense Knowledge to Infer Inconsistency for Multi-modal Clickbait Detection.- Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis.- GoT-R: Enhancing Large Language Models for Complex Question Answering with Graph-of-Thought Guided Reasoning.- From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction.- T3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-time Training on Short Video Platforms.
- DlGR-KB: Dual-level Graph Reasoning with Key Block Decoupling for Multi-Party Dialogue Reading Comprehension.- Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs.- Decompose then Discriminate: LLMs-Grounded In-Context Learning for Few-Shot Knowledge Base Question Answering.- Rule Mining from Text: A Semantic-Relational Logic Approach.- MR-SQL: Multi-Level Retrieval Enhances Inference for LLM in Text-to-SQL.- BRIDGE-Embed: A Novel LLM-based Document and Sentence Retrieval Method.- Correlation-Aware Reordered Scanning Mamba for Multivariate Time Series Forecasting.- CoopKG: An Academic Knowledge Graph for Question Answering Systems.
- Chain-of-Thought Prompting with Causal Intervention for Multimodal Aspect-based Sentiment Analysis.- A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling.- SimRe: A Simulation of Memes Recreation for Memes Category Detection.- HF-Mamba: Improving Multimodal Classification via Hierarchical Fusion based on Mamba.- Augmenting Transformers with Enhanced Dependency Structures by Treating Relations as New Words.- Tuning Vision-Language Models with Candidate Labels by Prompt Alignment.- Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs.- SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting.
- Unsupervised Fact Error Correction Modeling by Using Span-Level Contrastive Learning.- Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context.- CELLM: Curvature Enhanced Large Language Models for Graph Structure Learning.- Aspect-Aware Affective Focus Network For Joint Multimodal Aspect Sentiment Analysis.- Spatial-Temporal.- STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model.- DRENet: A Dual-branch Road Extraction Network for Enhanced Connectivity.- Towards An Efficient and Effective En Route Travel Time Estimation Framework.
- Time-aware Meta-path Aggregation on Heterogeneous Temporal Graphs.- STSC-Net: Leveraging Spatial, Temporal, and Semantic Context for Road Network Trajectory Prediction.- Durable Community Search on Temporal Graphs.- Boost Dynamic Community Detection via Exploiting Member Transition Information.- MCTM: Multi-Chord Distributed System for Efficient Trajectory Data Management in Mobile Edge Computing.- Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction.- Structural Entropy Based Spatio-temporal Sequence Forecasting.- Grayscale Image-based Top-k Spatial Dataset Search Processing.
- EPMC: An Enhanced Pre-training Model for Cellular Trajectory Representation Learning.- Enriching Complex Event Forecasting with Nested Patterns.- Enhancing Cross-Lingual Dialogue Summarization through Interpretable Chain-of-Thought.- Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting.- TS-FourierLLM: Frozen Frequency-Domain Large Language Blocks for Enhancing Time-Series Modeling.