Rohit Sharma added another major national honour to his decorated career as he was conferred the Padma Shri by President Droupadi Murmu at Rashtrapati Bhavan on Tuesday. The India cricket great was ...

Shubman Gill press conference: On Rohit Sharma future, squad for England ODI, Playing XI and more "It is a good kind of headache to have when all your players are performing," captain Shubman Gill ...

Long before the toss, as the Chepauk crowd got their first sighting of Rohit Sharma, a loud cheer went around the stands on Saturday. The chants of “Rohit, Rohit” followed soon as the 39-year-old ...

It is learnt that the upcoming three ODIs in England in July is going to be important for Rohit Sharma, with the team having quality back-ups in Ishan Kishan and Yashasvi Jaiswal. BCCI secretary ...

BCCI Breaks Silence On 'Discussion' Over Rohit Sharma, Virat Kohli's 2027 World Cup Future Rohit Sharma and Virat Kohli's prospects to make India's 2027 World Cup squad have been thrown into further ...

Rohit Sharma became only the fifth Indian batter to complete 14,000 runs in List A cricket during India's second ODI against Afghanistan on Wednesday.The former India captain reached the milestone ...

India might have to get by without Virat Kohli for the upcoming ODI series against Afghanistan, as Dainik Jagran journalist Abhishek Tripathi says he has been ruled out due to injury. Yet, the BCCI ...

Abstract: Learning bipartite graph structures from data is a fundamental yet challenging problem in graph signal processing. Unlike general graph learning (GL) methods, bipartite models are especially ...

As Mumbai Indians gear up to face Chennai Super Kings at the Wankhede Stadium on April 23, 2026, uncertainty surrounds the availability of Rohit Sharma, who is recovering from a hamstring injury. A ...

Abstract: Bipartite graphs are commonly used to model relationships between two distinct entities in real-world applications, such as user-product interactions, user-movie ratings and collaborations ...

Abstract: Real-world analytics hinges on tabular data, yet prevailing learners face a triple bind: tree ensembles excel on fixed schemas but cannot generalize to new columns, neural nets learn rich ...