WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero

LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings

Does homophily help in robust test-time node classification?

A simple model for long-term prediction of sewage flow in a changing climate

ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs

MARCO: a cooperative knowledge transfer framework for personalized cross-domain recommendations

Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensors

GCondenser: benchmarking graph condensation

DARLR: Dual-agent offline reinforcement learning for recommender systems with dynamic reward

Graph condensation: foundations, methods and prospects

Exploring the potential of graph neural networks-based methods for general linear programs

A low-cost soft sensor for sewer flow monitoring — Learning from water level measurements in manholes

PUMA: efficient continual graph learning for node classification with graph condensation

Beyond static LLM policies: imitation-enhanced reinforcement learning for recommendation

GOLD: graph out-of-distribution detection via implicit adversarial latent generation

EMIT - event-based masked auto encoding for irregular time series

Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection

ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

CaseLink: inductive graph learning for legal case retrieval