research
∙
07/13/2023
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing
Temporal sequences have become pervasive in various real-world applicati...
share
research
∙
06/06/2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs
Deep graph generative modeling has gained enormous attraction in recent ...
research
∙
06/06/2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Graph neural networks (GNNs), in general, are built on the assumption of...
research
∙
02/23/2023
Embeddings for Tabular Data: A Survey
Tabular data comprising rows (samples) with the same set of columns (att...
research
∙
11/03/2022
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
Machine learning and deep learning-based decision making has become part...
research
∙
08/29/2022
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs
Current approaches for points-of-interest (POI) recommendation learn the...
research
∙
08/25/2022
A Survey on Temporal Graph Representation Learning and Generative Modeling
Temporal graphs represent the dynamic relationships among entities and o...
research
∙
06/23/2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
A large fraction of data generated via human activities such as online p...
research
∙
06/21/2022
Plug and Play Counterfactual Text Generation for Model Robustness
Generating counterfactual test-cases is an important backbone for testin...
research
∙
06/16/2022
TransDrift: Modeling Word-Embedding Drift using Transformer
In modern NLP applications, word embeddings are a crucial backbone that ...
research
∙
06/10/2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences
Any human activity can be represented as a temporal sequence of actions ...
research
∙
03/07/2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
There has been a recent surge in learning generative models for graphs. ...
research
∙
02/17/2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Recent developments in predictive modeling using marked temporal point p...
research
∙
01/16/2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Variability in social app usage across regions results in a high skew of...
research
∙
11/07/2021
VizAI : Selecting Accurate Visualizations of Numerical Data
A good data visualization is not only a distortion-free graphical repres...
research
∙
09/13/2021
Region Invariant Normalizing Flows for Mobility Transfer
There exists a high variability in mobility data volumes across differen...
research
∙
08/17/2021
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs
Knowledge graphs (KG) that model the relationships between entities as l...
research
∙
04/30/2021
BERT Meets Relational DB: Contextual Representations of Relational Databases
In this paper, we address the problem of learning low dimension represen...
research
∙
04/15/2021
Tracking entities in technical procedures – a new dataset and baselines
We introduce TechTrack, a new dataset for tracking entities in technical...
research
∙
11/29/2020
FROCC: Fast Random projection-based One-Class Classification
We present Fast Random projection-based One-Class Classification (FROCC)...
research
∙
09/29/2020
A Survey on Semantic Parsing from the perspective of Compositionality
Different from previous surveys in semantic parsing (Kamath and Das, 201...
research
∙
07/29/2020
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs
Knowledge graphs (KGs) have increasingly become the backbone of many cri...
research
∙
06/03/2020
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge
Knowledge Graphs (KGs) extracted from text sources are often noisy and l...
research
∙
05/13/2020
On Embeddings in Relational Databases
We address the problem of learning a distributed representation of entit...
research
∙
05/01/2020
Knowledge Base Inference for Regular Expression Queries
Two common types of tasks on Knowledge Bases have been studied – single ...
research
∙
01/29/2020
Aspect-based Academic Search using Domain-specific KB
Academic search engines allow scientists to explore related work relevan...
research
∙
09/12/2018
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes
Social media conversations unfold based on complex interactions between ...
research
∙
01/30/2018
A Machine Learning Approach to Quantitative Prosopography
Prosopography is an investigation of the common characteristics of a gro...
research
∙
11/14/2017
DataVizard: Recommending Visual Presentations for Structured Data
Selecting the appropriate visual presentation of the data such that it p...
research
∙
10/20/2017