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Found 7 papers, 4 papers with code
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
BPURF comprises two key components: (1) A spatial token dictionary, where urban entities are treated as tokens and integrated into a unified token graph, and (2) a region token set representation model which utilize token aggregation and a multi-channel model to embed token sets corresponding to region boundaries.
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
The Matryoshka Mamba and the hybrid contrastive learning paradigm operate in two parallel branches within Manta, enhancing Mamba for FSAR of long sub-sequence.
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
Furthermore, we introduce a type-aware spatiotemporal point process that learns crime-evolving features, measuring the risk of specific crime types at a given time and location by considering the frequency of past crime events.
Urban Region Pre-training and Prompting: A Graph-based Approach
Urban region representation is crucial for various urban downstream tasks.
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method
Key to the challenge of TSC includes 1) the essential of real-time signal decision, 2) the complexity in traffic dynamics, and 3) the network-level coordination.
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Then, we combine the group aggregation and the learnable encodings into a Transformer encoder to capture the semantic information.
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs
We face two challenges on graph query over a knowledge graph: (1) the structural gap between $G_Q$ and the predefined schema in $G$ causes mismatch with query graph, (2) users cannot view the answers until the graph query terminates, leading to a longer system response time (SRT).
Databases
