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ORCIDSrikanta J. Bedathur
Srikanta Bedathur
Person information
- affiliation: IIT Delhi, India
- affiliation (former): IBM India Research Lab, New Delhi, India
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2020 – today
- 2024
[j13]Vinayak Gupta
, Srikanta Bedathur:
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows. ACM Trans. Intell. Syst. Technol. 15(3): 49:1-49:27 (2024)- [j12]Harsh Pandey, Amitabha Bagchi, Srikanta J. Bedathur, Arindam Bhattacharya:
Data-Dependent Generalization Bounds for Neural Networks with ReLU. Trans. Mach. Learn. Res. 2024 (2024) - [c84]Prerna Agarwal, Nishant Kumar, Srikanta Bedathur:
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution. ACL (1) 2024: 10119-10140 - [c83]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS 2024: 54-63 - [c82]Nishtha Madaan, Srikanta Bedathur:
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. SaTML 2024: 710-722 - [c81]Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur:
TransDrift: Modeling Word-Embedding Drift using Transformer. WWW (Companion Volume) 2024: 1388-1393 - [i39]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives. CoRR abs/2402.09239 (2024) - 2023
- [j11]Vinayak Gupta, Srikanta Bedathur:
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs. IEEE Trans. Big Data 9(2): 608-620 (2023) - [c80]Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. AAAI 2023: 15767-15773 - [c79]Dwijesh Gohil, Shivangi Bithel, Srikanta Bedathur:
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. COMAD/CODS 2023: 37-46 - [c78]Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur:
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. COMAD/CODS 2023: 87-94 - [c77]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [c76]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur:
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG 2023: 32 - [c75]Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur:
Counterfactual Sentence Generation with Plug-and-Play Perturbation. SaTML 2023: 306-315 - [c74]Shivangi Bithel, Srikanta Bedathur:
Evaluating Cross-modal Generative Models Using Retrieval Task. SIGIR 2023: 1960-1965 - [i38]Rajat Singh, Srikanta Bedathur:
Embeddings for Tabular Data: A Survey. CoRR abs/2302.11777 (2023) - [i37]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i36]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (2023) - [i35]Vinayak Gupta, Srikanta Bedathur, Abir De:
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR abs/2307.09613 (2023) - [i34]Vinayak Gupta, Srikanta Bedathur:
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows. CoRR abs/2307.10305 (2023) - [i33]Nishtha Madaan, Srikanta Bedathur:
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. CoRR abs/2312.13616 (2023) - 2022
- [j10]Arindam Bhattacharya, Chathur Gudesa, Amitabha Bagchi, Srikanta Bedathur:
New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters. Proc. VLDB Endow. 15(9): 1924-1936 (2022) - [j9]Vinayak Gupta, Srikanta Bedathur:
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. ACM Trans. Intell. Syst. Technol. 13(3): 50:1-50:24 (2022) - [j8]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13(6): 103:1-103:26 (2022) - [c73]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI 2022: 4005-4013 - [c72]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [c71]Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur:
VizAI : Selecting Accurate Visualizations of Numerical Data. COMAD/CODS 2022: 28-36 - [c70]Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala:
Automatic Assessment of Quality of your Data for AI. COMAD/CODS 2022: 354-357 - [c69]Vinayak Gupta, Srikanta Bedathur:
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. KDD 2022: 496-504 - [i32]Vinayak Gupta, Srikanta Bedathur:
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. CoRR abs/2201.06095 (2022) - [i31]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR abs/2202.11485 (2022) - [i30]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR abs/2203.03564 (2022) - [i29]Vinayak Gupta, Srikanta Bedathur:
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. CoRR abs/2206.05291 (2022) - [i28]Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur:
TransDrift: Modeling Word-Embedding Drift using Transformer. CoRR abs/2206.08081 (2022) - [i27]Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha:
Plug and Play Counterfactual Text Generation for Model Robustness. CoRR abs/2206.10429 (2022) - [i26]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR abs/2206.12414 (2022) - [i25]Shubham Gupta, Srikanta Bedathur:
A Survey on Temporal Graph Representation Learning and Generative Modeling. CoRR abs/2208.12126 (2022) - [i24]Vinayak Gupta, Srikanta Bedathur:
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs. CoRR abs/2208.13775 (2022) - [i23]Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language. CoRR abs/2211.04250 (2022) - 2021
- [j7]Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi:
Answering Regular Path Queries through Exemplars. Proc. VLDB Endow. 15(2): 299-311 (2021) - [c68]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Learning Temporal Point Processes with Intermittent Observations. AISTATS 2021: 3790-3798 - [c67]Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam:
Regex Queries over Incomplete Knowledge Bases. AKBC 2021 - [c66]Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur:
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CIKM 2021: 545-554 - [c65]Vinayak Gupta, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. CIKM 2021: 3053-3057 - [c64]Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh:
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. CIKM 2021: 4872-4873 - [c63]Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur:
Fast One-class Classification using Class Boundary-preserving Random Projections. KDD 2021: 66-74 - [c62]Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi:
2nd International Workshop on Data Quality Assessment for Machine Learning. KDD 2021: 4147-4148 - [c61]Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel:
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) 2021: 117-120 - [c60]Jayesh Choudhari, Srikanta Bedathur, Indrajit Bhattacharya, Anirban Dasgupta:
Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. PAKDD (1) 2021: 305-319 - [i22]Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath:
Tracking entities in technical procedures - a new dataset and baselines. CoRR abs/2104.07378 (2021) - [i21]Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur:
BERT Meets Relational DB: Contextual Representations of Relational Databases. CoRR abs/2104.14914 (2021) - [i20]Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur:
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CoRR abs/2108.07758 (2021) - [i19]Vinayak Gupta, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. CoRR abs/2109.05738 (2021) - [i18]Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur:
VizAI : Selecting Accurate Visualizations of Numerical Data. CoRR abs/2111.04190 (2021) - 2020
- [c59]Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma:
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. AKBC 2020 - [c58]Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur:
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CIKM 2020: 405-414 - [c57]Arindam Bhattacharya, Srikanta Bedathur, Amitabha Bagchi:
Adaptive Learned Bloom Filters under Incremental Workloads. COMAD/CODS 2020: 107-115 - [c56]Pranay Lohia, Kalapriya Kannan, Karan Rai, Srikanta Bedathur:
Ranking Marginal Influencers in a Target-labeled Network. COMAD/CODS 2020: 254-260 - [c55]Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath:
Aspect-Based Academic Search Using Domain-Specific KB. ECIR (2) 2020: 418-424 - [c54]Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur:
Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. WISE (1) 2020: 153-169 - [i17]Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath:
Aspect-based Academic Search using Domain-specific KB. CoRR abs/2001.10781 (2020) - [i16]Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam:
Knowledge Base Inference for Regular Expression Queries. CoRR abs/2005.00480 (2020) - [i15]Siddhant Arora, Srikanta Bedathur:
On Embeddings in Relational Databases. CoRR abs/2005.06437 (2020) - [i14]Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma:
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. CoRR abs/2006.04509 (2020) - [i13]Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur:
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces. CoRR abs/2006.07580 (2020) - [i12]Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur:
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CoRR abs/2007.14864 (2020) - [i11]Pawan Kumar, Srikanta Bedathur:
A Survey on Semantic Parsing from the perspective of Compositionality. CoRR abs/2009.14116 (2020) - [i10]Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur:
FROCC: Fast Random projection-based One-Class Classification. CoRR abs/2011.14317 (2020)
2010 – 2019
- 2019
- [j6]Ankita Likhyani, Srikanta Bedathur, P. Deepak:
Location-Specific Influence Quantification in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 10(3): 23:1-23:28 (2019) - [c53]Saket Gurukar, Srikanta Bedathur:
Time-series as Background Data for Relating Medical Diagnoses Terms. BCB 2019: 243-252 - [c52]Neha Sengupta, Amitabha Bagchi, Maya Ramanath, Srikanta Bedathur:
ARROW: Approximating Reachability Using Random Walks Over Web-Scale Graphs. ICDE 2019: 470-481 - [c51]Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur:
Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. SIGMOD Conference 2019: 1463-1480 - 2018
- [j5]Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath:
Sampling and Reconstruction Using Bloom Filters. IEEE Trans. Knowl. Data Eng. 30(7): 1324-1337 (2018) - [c50]Nishtha Madaan, Gautam Singh, Srikanta Bedathur, Arun Kumar:
A Change Tracking Framework for Financial Documents. SCC 2018: 81-88 - [c49]Dwaipayan Roy, Debasis Ganguly, Sumit Bhatia, Srikanta Bedathur, Mandar Mitra:
Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance. CIKM 2018: 1835-1838 - [c48]Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur:
Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. ICDM 2018: 923-928 - [c47]Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock:
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) 2018 - [c46]Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur:
DataVizard: Recommending Visual Presentations for Structured Data. WebDB 2018: 3:1-3:6 - [i9]Aayushee Gupta, Haimonti Dutta, Srikanta Bedathur, Lipika Dey:
A Machine Learning Approach to Quantitative Prosopography. CoRR abs/1801.10080 (2018) - [i8]Srikanta Bedathur, Indrajit Bhattacharya, Jayesh Choudhari, Anirban Dasgupta:
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes. CoRR abs/1809.04487 (2018) - 2017
- [c45]Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya:
Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials. CIKM 2017: 2079-2082 - [c44]Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath:
Sampling and Reconstruction Using Bloom Filters. ICDE 2017: 195-198 - [c43]Ankita Likhyani, Srikanta Bedathur, Deepak P:
LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks. IJCAI 2017: 2259-2265 - [i7]Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath:
Sampling and Reconstruction Using Bloom Filters. CoRR abs/1701.03308 (2017) - [i6]Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Sriram Lakshminarasimhan:
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters. CoRR abs/1710.07411 (2017) - [i5]Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur:
DataVizard: Recommending Visual Presentations for Structured Data. CoRR abs/1711.04971 (2017) - 2016
- [c42]Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre:
Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores. CIKM 2016: 831-840 - [c41]Stephan Seufert, Klaus Berberich, Srikanta J. Bedathur, Sarath Kumar Kondreddi, Patrick Ernst, Gerhard Weikum:
ESPRESSO: Explaining Relationships between Entity Sets. CIKM 2016: 1311-1320 - [c40]Stephan Seufert, Patrick Ernst, Srikanta J. Bedathur, Sarath Kumar Kondreddi, Klaus Berberich, Gerhard Weikum:
Instant Espresso: Interactive Analysis of Relationships in Knowledge Graphs. WWW (Companion Volume) 2016: 251-254 - 2015
- [j4]Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain:
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. 8(13): 2170-2181 (2015) - [c39]Ankita Likhyani, Deepak Padmanabhan, Srikanta J. Bedathur, Sameep Mehta:
Inferring and Exploiting Categories for Next Location Prediction. WWW (Companion Volume) 2015: 65-66 - 2014
- [c38]Avishek Anand, Ida Mele, Srikanta J. Bedathur, Klaus Berberich:
Phrase Query Optimization on Inverted Indexes. CIKM 2014: 1807-1810 - [c37]Shruti Chhabra, Srikanta Bedathur:
Towards Generating Text Summaries for Entity Chains. ECIR 2014: 136-147 - [c36]Jyoti Leeka, Srikanta Bedathur:
RQ-RDF-3X: Going beyond triplestores. ICDE Workshops 2014: 263-268 - [e1]Srikanta Bedathur, Divesh Srivastava, Satyanarayana R. Valluri:
20th International Conference on Management of Data, COMAD 2014, Hyderabad, India, December 17-19, 2014. Computer Society of India 2014 [contents] - 2013
- [c35]Srikanta J. Bedathur, Klaus Berberich, Ioannis Patlakas, Peter Triantafillou, Gerhard Weikum:
D-Hive: Data Bees Pollinating RDF, Text, and Time. CIDR 2013 - [c34]Ankita Likhyani, Srikanta J. Bedathur:
Label constrained shortest path estimation. CIKM 2013: 1177-1180 - [c33]Shruti Chhabra, Srikanta Bedathur:
Generating Text Summaries of Graph Snippets. COMAD 2013: 121-124 - [c32]Klaus Berberich, Srikanta J. Bedathur:
Computing n-gram statistics in MapReduce. EDBT 2013: 101-112 - [c31]Stephan Seufert, Avishek Anand, Srikanta J. Bedathur, Gerhard Weikum:
FERRARI: Flexible and efficient reachability range assignment for graph indexing. ICDE 2013: 1009-1020 - [c30]Stephan Seufert, Srikanta J. Bedathur, Johannes Hoffart, Andrey Gubichev, Klaus Berberich:
Efficient Computation of Relationship-Centrality in Large Entity-Relationship Graphs. ISWC (Posters & Demos) 2013: 265-268 - [c29]Andrey Gubichev, Srikanta J. Bedathur, Stephan Seufert:
Sparqling kleene: fast property paths in RDF-3X. GRADES 2013: 14 - [i4]Apoorv Narang, Srikanta J. Bedathur:
Mind Your Language: Effects of Spoken Query Formulation on Retrieval Effectiveness. CoRR abs/1312.4036 (2013) - 2012
- [c28]Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel:
Index maintenance for time-travel text search. SIGIR 2012: 235-244 - [i3]Klaus Berberich, Srikanta J. Bedathur:
Computing n-Gram Statistics in MapReduce. CoRR abs/1207.4371 (2012) - [i2]Stephan Seufert, Avishek Anand, Srikanta J. Bedathur, Gerhard Weikum:
High-Performance Reachability Query Processing under Index Size Restrictions. CoRR abs/1211.3375 (2012) - 2011
- [c27]Srikanta J. Bedathur:
Time to Rethink Database Teaching in India?. COMAD 2011: 9 - [c26]Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel:
Temporal index sharding for space-time efficiency in archive search. SIGIR 2011: 545-554 - 2010
- [j3]Srikanta J. Bedathur, Klaus Berberich, Jens Dittrich, Nikos Mamoulis, Gerhard Weikum:
Interesting-Phrase Mining for Ad-Hoc Text Analytics. Proc. VLDB Endow. 3(1): 1348-1357 (2010) - [j2]Vinay Setty, Srikanta J. Bedathur, Klaus Berberich, Gerhard Weikum:
InZeit: Efficiently Identifying Insightful Time Points. Proc. VLDB Endow. 3(2): 1605-1608 (2010) - [c25]Gerhard Weikum, Srikanta J. Bedathur, Ralf Schenkel:
Temporal Knowledge for Timely Intelligence. BIRTE 2010: 1-6 - [c24]Andrey Gubichev, Srikanta J. Bedathur, Stephan Seufert, Gerhard Weikum:
Fast and accurate estimation of shortest paths in large graphs. CIKM 2010: 499-508 - [c23]Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel:
Efficient temporal keyword search over versioned text. CIKM 2010: 699-708 - [c22]Amal Chaminda Kaluarachchi, Aparna S. Varde, Srikanta J. Bedathur, Gerhard Weikum, Jing Peng, Anna Feldman:
Incorporating terminology evolution for query translation in text retrieval with association rules. CIKM 2010: 1789-1792 - [c21]Klaus Berberich, Srikanta J. Bedathur, Omar Alonso, Gerhard Weikum:
A Language Modeling Approach for Temporal Information Needs. ECIR 2010: 13-25 - [c20]Omar Alonso, Klaus Berberich, Srikanta J. Bedathur, Gerhard Weikum:
NEAT: News Exploration Along Time. ECIR 2010: 667 - [c19]Stephan Seufert, Srikanta J. Bedathur, Julián Mestre, Gerhard Weikum:
Bonsai: Growing Interesting Small Trees. ICDM 2010: 1013-1018 - [c18]Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srikanta J. Bedathur:
Durable top-k search in document archives. SIGMOD Conference 2010: 555-566 - [c17]Saral Jain, Stephan Seufert, Srikanta J. Bedathur:
Antourage: mining distance-constrained trips from flickr. WWW 2010: 1121-1122
2000 – 2009
- 2009
- [c16]Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel, Christos Tryfonopoulos:
EverLast: a distributed architecture for preserving the web. JCDL 2009: 331-340 - [c15]Tomasz Tylenda, Ralitsa Angelova, Srikanta J. Bedathur:
Towards time-aware link prediction in evolving social networks. SNAKDD 2009: 9 - [c14]Klaus Berberich, Srikanta J. Bedathur, Mauro Sozio, Gerhard Weikum:
Bridging the Terminology Gap in Web Archive Search. WebDB 2009 - [c13]Irem Arikan, Srikanta J. Bedathur, Klaus Berberich:
Time Will Tell: Leveraging Temporal Expressions in IR. WSDM (Late Breaking-Results) 2009 - 2008
- [c12]Christian Zimmer, Srikanta J. Bedathur, Gerhard Weikum:
Flood Little, Cache More: Effective Result-Reuse in P2P IR Systems. DASFAA 2008: 235-250 - 2007
- [c11]Klaus Berberich, Srikanta J. Bedathur, Gerhard Weikum:
Efficient Time-Travel on Versioned Text Collections. BTW 2007: 44-63 - [c10]Klaus Berberich, Srikanta J. Bedathur, Thomas Neumann, Gerhard Weikum:
A time machine for text search. SIGIR 2007: 519-526 - [c9]Klaus Berberich, Srikanta J. Bedathur, Gerhard Weikum:
A Pocket Guide to Web History. SPIRE 2007: 86-97 - [c8]Klaus Berberich, Srikanta J. Bedathur, Thomas Neumann, Gerhard Weikum:
FluxCapacitor: Efficient Time-Travel Text Search. VLDB 2007: 1414-1417 - [c7]Julia Stoyanovich, Srikanta J. Bedathur, Klaus Berberich, Gerhard Weikum:
EntityAuthority: Semantically Enriched Graph-Based Authority Propagation. WebDB 2007 - [c6]Klaus Berberich, Srikanta J. Bedathur, Gerhard Weikum, Michalis Vazirgiannis:
Comparing apples and oranges: normalized pagerank for evolving graphs. WWW 2007: 1145-1146 - 2006
- [c5]Klaus Berberich, Srikanta J. Bedathur, Gerhard Weikum:
Rank synopses for efficient time travel on the web graph. CIKM 2006: 864-865 - [c4]Klaus Berberich, Srikanta J. Bedathur, Michalis Vazirgiannis, Gerhard Weikum:
BuzzRank ... and the trend is your friend. WWW 2006: 937-938 - 2005
- [c3]Srikanta J. Bedathur, Jayant R. Haritsa:
Search-Optimized Suffix-Tree Storage for Biological Applications. HiPC 2005: 29-39 - 2004
- [c2]Srikanta J. Bedathur, Jayant R. Haritsa:
Engineering a Fast Online Persistent Suffix Tree Construction. ICDE 2004: 720-731 - [c1]Srikanta J. Bedathur, Abhijit Kadlag, Jayant R. Haritsa:
BODHI: A Database Habitat for Bio-diversity Information. SIGMOD Conference 2004: 953-954 - 2003
- [j1]Srikanta J. Bedathur, Jayant R. Haritsa, Uday S. Sen:
The building of BODHI, a bio-diversity database system. Inf. Syst. 28(4): 347-367 (2003) - 2001
- [i1]Srikanta J. Bedathur, Jayant R. Haritsa, Uday S. Sen:
The Building of BODHI, a Bio-diversity Database System. CoRR cs.DB/0109040 (2001)
Coauthor Index
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