This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are ...

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction ...

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(Relevance: UPSC frequently asks questions about various cases and related judgments, either directly or indirectly. Therefore, understanding some key Supreme Court judgments is important.) As this ...

It is the first to use a graph transformer to build knowledge embeddings with triplet-level and graph-level structural features in the static and temporal knowledge graph. Specifically, a ...

Many people in developing countries experience disabilities, disproportionately affecting vulnerable populations. These individuals often face adverse socioeconomic outcomes leading to higher poverty ...

Recent studies have significantly improved the performance of complex logical queries on massive knowledge graphs by leveraging graph neural networks (GNNs ... and there is still much room for ...