5 papers
Self-attention summary networks for subsurface velocity-model building from common-image gathers
Shiqin Zeng, Yunlin Zeng, Abhinav Prakash Gahlot +2
Common-image gathers (CIGs) contain physically meaningful information about velocity-model errors through reflector focusing and residual moveout, but in conventional imaging workf…
HAWKEYE: Seeing One Layer Deeper -- A Cohesion-Aware Structural Channel for Temporal Link Prediction
Jiacheng Ding, Xiaofei Zhang
State-of-the-art temporal-link-prediction (TLP) models are, in essence, multi-channel information aggregators: they combine an interaction-history channel, a time-encoding channel,…
TGMS: An Agent-Native Bi-Temporal Graph Management System
Xiaofei Zhang
Temporal graph questions require reliable handling of time, identifiers, and arithmetic. Large language model (LLM) agents often fail on these tasks, especially when a graph record…
SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation
Jiacheng Ding, Xiaofei Zhang
High quality temporal graph benchmarks with rich semantics and ground-truth anomaly labels are essential for training graph neural networks, yet remain scarce due to privacy constr…
ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs
Jiacheng Ding, Cong Guo, Xiaofei Zhang
With the proliferation of temporal graph data, there is a growing demand for analyzing information propagation patterns during graph evolution. Existing graph analysis systems, mos…