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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
[c79]Shubham Gupta
, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS 2024: 54-63- [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) - [c78]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 - [c77]Dwijesh Gohil, Shivangi Bithel, Srikanta Bedathur:
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. COMAD/CODS 2023: 37-46 - [c76]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 - [c75]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [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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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-02-21 20:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
