E-raamat: Databases Theory and Applications: 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4-6, 2025, Proceedings

.- Research Track Papers.


.- Parameter-Efficient Wheat Disease Segmentation.


.- Computing Historical k-core in Parallel.


.- Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and
Pest Segmentation.


.- An Experimental Study of Graph Pattern Mining Systems.


.- Distributional Offline Reinforcement Learning for Recommender Systems.


.- Importance Sampling Facilitates Ensemble Adversarial Transferability.


.- Pursuit of Truth: Incentive Mechanism Involving Privacy Demands in Mobile
Crowdsourcing.


.- Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with
Collaborative Language Agents.


.- An Extensible Benchmark for Value Ambiguity Resolution in Text-to-SQL.


.- A Simple and Effective Index for Querying Large Quasi-Cliques.


.- Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image
Agricultural VQA.


.- XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via
Item Response Theory.


.- From Exploratory Heuristics to Exact Search: Accelerating Maximum Common
Subgraph Algorithms.


.- PPPR: Accelerating Probabilistic Reverse Top-k Queries via Clustering and
Cluster-Aware Threshold Estimation.


.- ReaCH-TGN: Contrastive Hop- and Time-Aware Temporal Graph Network for
Reachability Prediction.


.- Privacy-Preserving Graph Data Deduplication for Deep Graph Learning.


.- S2Q: Teaching Language Models New Facts Through Knowledge Graph
Instruction Synthesis.


.- The Parameterization Gap: Backtracking Multimodal NL2PSQL.


.- Balanced Popularity in Multi-Product Billboard Advertisement.


.- Federated Learning for Computing Power Network: A Latency Optimization
Scheduling Framework based on Deep Reinforcement Learning.


.- Continual Multimodal Knowledge Graph Learning via Adaptive Replay and
Topology Distillation.


.- ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning
Representations with LLMs.


.- Shepherding Track Papers.


.- Online Adaptive Rumor Blocking with Pertinence Set.


.- LLM-Enhanced Processing of Complex Spatial Queries.


.- Advancing Spatial Keyword Queries: From Filters to Unified Vector
Embeddings.


.- SQL-to-Text Generation with Weighted-AST Few-Shot Prompting.


.- FusionSHAP: Window Level Shapley Explanations with Semantic and Physical
Fusion for STGNNs.


.- LHATM: LLM-Guided Hierarchy-Aware Topic Modeling Framework.


.- Efficient Algorithms for Multi-Criteria Clique Discovery in Multilayer
Graphs.