Showing 1–20 of 110 results
/ Date/ Name
Sep 12, 2022Bias Challenges in Counterfactual Data AugmentationAug 26, 2022Veritas: Answering Causal Queries from Video Streaming TracesSep 4, 2012On Set Size Distribution Estimation and the Characterization of Large Networks via SamplingFeb 11, 2020Infinity Learning: Learning Markov Chains from Aggregate Steady-State ObservationsJul 4, 2013Modeling and Predicting the Growth and Death of Membership-based WebsitesNov 6, 2025Fractional Schrödinger-Poisson-Slater equations in Coulomb-Sobolev spacesMar 26, 2020A Collective Learning Framework to Boost GNN ExpressivenessMar 8, 2021Size-Invariant Graph Representations for Graph Classification ExtrapolationsMar 6, 2019Relational Pooling for Graph RepresentationsMay 30, 2022OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsMar 6, 2023MetaPhysiCa: OOD Robustness in Physics-informed Machine LearningDec 20, 2012Online Myopic Network CoveringFeb 19, 2014On the duration and intensity of cumulative advantage competitionsNov 5, 2018Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size InputsApr 20, 2021Neural Networks for Learning Counterfactual G-Invariances from Single EnvironmentsFeb 2, 2023Causal Lifting and Link PredictionMar 3, 2014Modeling Website Popularity Competition in the Attention-Activity MarketplaceNov 3, 2015TribeFlow: Mining & Predicting User TrajectoriesOct 30, 2023Efficient Subgraph GNNs by Learning Effective Selection PoliciesFeb 9, 2010Estimating and Sampling Graphs with Multidimensional Random Walks