Srikanta Bedathur
10 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(7)
Artificial Intelligence
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Deep Learning
(5)
Core AI
(5)
Natural Language Processing
(4)
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(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
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(2)
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(2)
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(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
temporal point process
(3)
knowledge graph question answering
(3)
logical form
(2)
link prediction
(2)
few-shot learning
(2)
generative model
(2)
symbolic reasoning
(1)
code generation
(1)
image retrieval
(1)
semantic parsing
(1)
question answering
(1)
variational inference
(1)
graph generation
(1)
visual grounding
(1)
distribution shift
(1)
in-context learning
(1)
locality sensitive hashing
(1)
kernel density estimation
(1)
multimodal retrieval
(1)
message passing
(1)
Papers
Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations
WACV 2026
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
AAAI 2026
Aligning Complex Knowledge Graph Question Answering as Knowledge-Aware Constrained Code Generation
COLING 2025
A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering
EMNLP 2025
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution
ACL 2024
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language
AAAI 2023
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
AAAI 2022
Learning Temporal Point Processes with Intermittent Observations
AISTATS 2021
LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks
IJCAI 2017