default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSayan Ranu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j14]Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu:
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)- [c58]Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR 2024 - [c57]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR 2024 - [c56]Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu:
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR 2024 - [c55]Rishi Shah
, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD 2024: 2584-2595 - [e3]Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K:
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024. ACM 2024 [contents] - [i37]Aditya Bommakanti, Harshith Reddy Vonteri, Sayan Ranu, Panagiotis Karras:
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance. CoRR abs/2402.05885 (2024) - [i36]Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah:
Towards Fair Allocation in Social Commerce Platforms. CoRR abs/2402.12759 (2024) - [i35]Anuj Kumar Sirohi, Anjali Gupta, Sayan Ranu, Sandeep Kumar, Amitabha Bagchi:
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks. CoRR abs/2402.12937 (2024) - [i34]Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu:
TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR abs/2406.01650 (2024) - 2023
- [j13]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4(1): 15003 (2023) - [c54]Sahil Manchanda, Sayan Ranu:
LIMIP: Lifelong Learning to Solve Mixed Integer Programs. AAAI 2023: 9047-9054 - [c53]Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI 2023: 15091-15099 - [c52]Mahdihusain Momin, Raj Kamal, Shantwana Dixit, Sayan Ranu, Amitabha Bagchi:
KWIQ: Answering k-core Window Queries in Temporal Networks. EDBT 2023: 208-220 - [c51]Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR 2023 - [c50]Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML 2023: 2431-2451 - [c49]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [c48]Mridul Gupta, Hariprasad Kodamana, Sayan Ranu:
Frigate: Frugal Spatio-temporal Forecasting on Road Networks. KDD 2023: 649-660 - [c47]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur:
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG 2023: 32 - [c46]Sachin Chauhan, Zeel B. Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra:
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling. NeurIPS 2023 - [c45]Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. WSDM 2023: 141-149 - [c44]Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De:
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM 2023: 733-741 - [c43]Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah:
Towards Fair Allocation in Social Commerce Platforms. WWW 2023: 3744-3754 - [i33]Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR abs/2301.12477 (2023) - [i32]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i31]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (2023) - [i30]Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu:
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR abs/2306.04835 (2023) - [i29]Mridul Gupta, Hariprasad Kodamana, Sayan Ranu:
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks. CoRR abs/2306.08277 (2023) - [i28]Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR abs/2306.11435 (2023) - [i27]Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR abs/2307.05299 (2023) - [i26]Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu:
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR abs/2310.01794 (2023) - [i25]Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan:
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR abs/2310.02428 (2023) - [i24]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR abs/2310.09486 (2023) - [i23]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR abs/2310.11787 (2023) - 2022
- [j12]Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala:
FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks. ACM Trans. Spatial Algorithms Syst. 8(1): 1-25 (2022) - [c42]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [c41]Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
FairFoody: Bringing In Fairness in Food Delivery. AAAI 2022: 11900-11907 - [c40]Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. IJCAI 2022: 5122-5128 - [c39]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS 2022 - [c38]Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu:
GREED: A Neural Framework for Learning Graph Distance Functions. NeurIPS 2022 - [c37]Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu:
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS 2022 - [i22]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR abs/2203.03564 (2022) - [i21]Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
FairFoody: Bringing in Fairness in Food Delivery. CoRR abs/2203.08849 (2022) - [i20]Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. CoRR abs/2205.03530 (2022) - [i19]Sahil Manchanda, Sayan Ranu:
Lifelong Learning for Neural powered Mixed Integer Programming. CoRR abs/2208.12226 (2022) - [i18]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR abs/2209.01476 (2022) - [i17]Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR abs/2209.10740 (2022) - [i16]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR abs/2209.11588 (2022) - [i15]Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. CoRR abs/2210.11695 (2022) - [i14]Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu:
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR abs/2211.05520 (2022) - 2021
- [j11]Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi:
Answering Regular Path Queries through Exemplars. Proc. VLDB Endow. 15(2): 299-311 (2021) - [c36]Iqra Altaf Gillani, Amitabha Bagchi, Sayan Ranu:
A Group-to-Group Version of Random Walk Betweenness Centrality. COMAD/CODS 2021: 127-135 - [c35]Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala:
Batching and Matching for Food Delivery in Dynamic Road Networks. ICDE 2021: 2099-2104 - [c34]Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu:
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. IJCAI 2021: 1527-1533 - [c33]Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu:
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. NeurIPS 2021: 22070-22082 - [c32]Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi:
Balance Maximization in Signed Networks via Edge Deletions. WSDM 2021: 752-760 - [i13]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR abs/2110.03266 (2021) - [i12]Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu:
A Neural Framework for Learning Subgraph and Graph Similarity Measures. CoRR abs/2112.13143 (2021) - [i11]Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR abs/2112.13267 (2021) - 2020
- [j10]Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu:
Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. 13(9): 1511-1524 (2020) - [c31]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS 2020 - [c30]Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu:
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. WWW 2020: 1253-1263 - [i10]Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu:
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. CoRR abs/2001.08184 (2020) - [i9]Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu:
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. CoRR abs/2008.09657 (2020) - [i8]Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala:
Batching and Matching for Food Delivery in Dynamic Road Networks. CoRR abs/2008.12905 (2020) - [i7]Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi:
Balance Maximization in Signed Networks via Edge Deletions. CoRR abs/2010.10991 (2020)
2010 – 2019
- 2019
- [j9]Jithin Vachery, Sayan Ranu:
RISC: Rapid Inverted-Index Based Search of Chemical Fingerprints. J. Chem. Inf. Model. 59(6): 2702-2713 (2019) - [c29]Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu:
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. COMAD/CODS 2019: 27-35 - [c28]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT 2019: 440-443 - [c27]Pranali Yawalkar, Sayan Ranu:
Route Recommendations on Road Networks for Arbitrary User Preference Functions. ICDE 2019: 602-613 - [c26]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 - [c25]Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya:
RAQ: Relationship-Aware Graph Querying in Large Networks. WWW 2019: 1886-1896 - [c24]Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi:
Beyond Shortest Paths: Route Recommendations for Ride-sharing. WWW 2019: 2258-2269 - [i6]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR abs/1903.03332 (2019) - 2018
- [j8]Dheepikaa Natarajan, Sayan Ranu:
Resling: a scalable and generic framework to mine top-k representative subgraph patterns. Knowl. Inf. Syst. 54(1): 123-149 (2018) - [j7]Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh:
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11(9): 988-1001 (2018) - [j6]Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta:
Leveraging semantic resources in diversified query expansion. World Wide Web 21(4): 1041-1067 (2018) - [c23]Nandani Garg, Gitakrishnan Ramadurai, Sayan Ranu:
Mining bus stops from raw GPS data of bus trajectories. COMSNETS 2018: 583-588 - [c22]Nandani Garg, Sayan Ranu:
Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! KDD 2018: 1425-1434 - [e2]Sayan Ranu, Niloy Ganguly, Raghu Ramakrishnan, Sunita Sarawagi, Shourya Roy:
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018. ACM 2018 [contents] - [i5]Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya:
Identifying User Intent and Context in Graph Queries. CoRR abs/1801.06402 (2018) - 2017
- [j5]Aravind Sankar, Sayan Ranu, Karthik Raman:
Predicting novel metabolic pathways through subgraph mining. Bioinform. 33(24): 3955-3963 (2017) - [j4]Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya:
SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries. Proc. VLDB Endow. 10(11): 1382-1393 (2017) - [c21]Souvik Maity, Soumik Dalal, Sayan Ranu, Lelitha Vanajakshi:
A weight-based map matching algorithm using minimum input variables for urban road networks. COMSNETS 2017: 437-442 - [c20]Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari:
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. ICDE 2017: 87-90 - [c19]Akhil Arora, Sainyam Galhotra, Sayan Ranu:
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference 2017: 651-666 - [p1]Arijit Khan, Sayan Ranu:
Big-Graphs: Querying, Mining, and Beyond. Handbook of Big Data Technologies 2017: 531-582 - [i4]Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Harsh Bhandari, Sayan Ranu:
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. CoRR abs/1702.02809 (2017) - 2016
- [c18]Dheepikaa Natarajan, Sayan Ranu:
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. ICDM 2016: 370-379 - [c17]Prithu Banerjee, Pranali Yawalkar, Sayan Ranu:
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories. KDD 2016: 1415-1424 - [c16]Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta:
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) 2016: 157-173 - [e1]Amol Deshpande, Balaraman Ravindran, Sayan Ranu:
21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016. Computer Society of India 2016 [contents] - [i3]Prithu Banerjee, Sayan Ranu, Sriram Raghavan:
Inferring Uncertain Trajectories from Partial Observations. CoRR abs/1603.07641 (2016) - 2015
- [c15]Deepak P, Sayan Ranu, Prithu Banerjee, Sameep Mehta:
Entity Linking for Web Search Queries. ECIR 2015: 394-399 - [c14]Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan:
Indexing and matching trajectories under inconsistent sampling rates. ICDE 2015: 999-1010 - [c13]Shivam Srivastava, Shiladitya Pande, Sayan Ranu:
Geo-Social Clustering of Places from Check-in Data. ICDM 2015: 985-990 - [c12]Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan:
Trajectory aware macro-cell planning for mobile users. INFOCOM 2015: 792-800 - [c11]Saket Gurukar, Sayan Ranu, Balaraman Ravindran:
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference 2015: 475-489 - [i2]Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan:
Trajectory Aware Macro-cell Planning for Mobile Users. CoRR abs/1501.02918 (2015) - 2014
- [c10]Deepak P, Sayan Ranu:
Entity Linking: Detecting Entities within Text. COMAD 2014: 9-10 - [c9]Vinay Kolar, Sayan Ranu, Anand Prabhu Subramanian, Yedendra Shrinivasan, Aditya Telang, Ravi Kokku, Sriram Raghavan:
People in motion: Spatio-temporal analytics on Call Detail Records. COMSNETS 2014: 1-4 - [c8]Prithu Banerjee, Sayan Ranu, Sriram Raghavan:
Inferring Uncertain Trajectories from Partial Observations. ICDM 2014: 30-39 - [c7]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Applications of Top-k Representative Queries. SWIM 2014: 40:1-40:2 - [c6]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Answering top-k representative queries on graph databases. SIGMOD Conference 2014: 1163-1174 - 2013
- [c5]Sayan Ranu, Aditya Telang, Vinay Kolar:
Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization. COMAD 2013: 11 - [c4]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Mining discriminative subgraphs from global-state networks. KDD 2013: 509-517 - 2012
- [c3]Sayan Ranu, Ambuj K. Singh:
Indexing and mining topological patterns for drug discovery. EDBT 2012: 562-565 - [c2]Vineet Chaoji, Sayan Ranu, Rajeev Rastogi, Rushi Bhatt:
Recommendations to boost content spread in social networks. WWW 2012: 529-538 - 2011
- [j3]Sayan Ranu, Ambuj K. Singh:
Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space. J. Chem. Inf. Model. 51(5): 1106-1121 (2011) - [j2]Sayan Ranu, Ambuj K. Singh:
Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions. Proc. VLDB Endow. 5(3): 169-180 (2011) - [i1]Sayan Ranu, Ambuj K. Singh:
Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions. CoRR abs/1111.7165 (2011)
2000 – 2009
- 2009
- [j1]Sayan Ranu, Ambuj K. Singh:
Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification. J. Chem. Inf. Model. 49(11): 2537-2550 (2009) - [c1]Sayan Ranu, Ambuj K. Singh:
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases. ICDE 2009: 844-855
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. 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 Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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 2024-10-07 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
