6 citations · 6 across the 9 of their papers we have counts for
10 papers
Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks
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…
A Scalable and Near-Optimal Conformance Checking Approach for Long Traces
Eli Bogdanov, Izack Cohen, Avigdor Gal
Long traces and large event logs that originate from sensors and prediction models are becoming more common in our data-rich world. In such circumstances, conformance checking, a k…
The Battleship Approach to the Low Resource Entity Matching Problem
Bar Genossar, Avigdor Gal, Roee Shraga
Entity matching, a core data integration problem, is the task of deciding whether two data tuples refer to the same real-world entity. Recent advances in deep learning methods, usi…
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry (Technical Report)
Roee Shraga, Gil Katz, Yael Badian +2
Industry 4.0 offers opportunities to combine multiple sensor data sources using IoT technologies for better utilization of raw material in production lines. A common belief that da…
Mapping Patterns for Virtual Knowledge Graphs
Diego Calvanese, Avigdor Gal, Davide Lanti +3
Virtual Knowledge Graphs (VKG) constitute one of the most promising paradigms for integrating and accessing legacy data sources. A critical bottleneck in the integration process in…
Query Scheduling in the Presence of Complex User Profiles
Haggai Roitman, Avigdor Gal, Louiqa Raschid
Advances in Web technology enable personalization proxies that assist users in satisfying their complex information monitoring and aggregation needs through the repeated querying o…