5 papers
Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks
Omer Yom Tov, Omer Yom-Tov, Avigdor Gal
A central obstacle in building graph foundation models is the input heterogeneity in terms of feature space dimensionality, semantics, and structure. Such heterogeneity limits the…
On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery
Anti Alman, Izack Cohen, Avigdor Gal +2
A core component of any AI-Augmented Business Process Management System (ABPMS) is the process frame, which gives the system process-awareness and defines its maximal behavioral bo…
3dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)
Bar Genossar, Sagi Dalyot, Roee Shraga +1
Urban environments are continuously mapped and modeled by various data collection platforms, including satellites, unmanned aerial vehicles and street cameras. The growing availabi…
Conformance Checking for Less: Efficient Conformance Checking for Long Event Sequences
Eli Bogdanov, Izack Cohen, Avigdor Gal
Long event sequences (termed traces) and large data logs that originate from sensors and prediction models are becoming increasingly common in our data-rich world. In such scenario…
MISFEAT: Feature Selection for Subgroups with Systematic Missing Data
Bar Genossar, Thinh On, Md. Mouinul Islam +3
We investigate the problem of selecting features for datasets that can be naturally partitioned into subgroups (e.g., according to socio-demographic groups and age), each with its…