WebVijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam. "Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks." arXiv (2024) WebAug 27, 2024 · Text classification from the documents remained a challenge while using GCN which was solved with the Heterogenous Graph Convolutional Networks (HeteGCN) by Rahul Ragesh et al. . The shortcomings of the existing methods like scalability and prediction accuracy were overcome by integrating the best aspects of predictive text …
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WebDec 7, 2024 · A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam. Graph Neural Networks (GNNs) exploit signals from node features and the input graph topology to improve node classification task performance. WebDec 15, 2024 · 2024 – today. 2024. [c3] Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam: HeteGCN: Heterogeneous Graph Convolutional …
WebRahul Ragesh's 11 research works with 45 citations and 545 reads, including: A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks Rahul Ragesh's … WebApr 22, 2024 · Kalipada Koner, Shayan Karak & Rahul Banerjee Centre for Advanced Functional Materials, Indian Institute of Science Education and Research, Kolkata, Mohanpur, India
WebPoster in Workshop: Geometrical and Topological Representation Learning A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam · Chanakya Ekbote · Manan Sharma · Rahul Ragesh · Arun Iyer · SUNDARARAJAN SELLAMANICKAM WebFeb 15, 2024 · User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun …
WebGoogle Scholar; Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, and Vijay Lingam. 2024. Hetegcn: heterogeneous graph convolutional networks for …
WebGoogle Scholar Digital Library; Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, and Tat-Seng Chua. 2024. Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. ... Google Scholar Digital Library; Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, and … umeet cloud downloadWebJul 19, 2024 · Article CAS Google Scholar Nixon, G. M. & Brouillette, R. T. Sleep and breathing in prader-willi syndrome. ... Rahul Ragesh, Ramachandra Mannava, and Jacob Hoffman for help with sleep stage ... thor machine a laver 1907WebMar 26, 2024 · I am a Data and Applied Scientist in the Microsoft Advertising Team. Prior to this, I was a Research Fellow at Microsoft Research (MSR), India. During my two years … ume ethical ministryWebYou can also find my articles on my Google Scholar profile. Search4Code: Code Search Intent Classification Using Weak Supervision Nikitha Rao, Chetan Bansal, Joe Guan. ... Nikitha Rao, Piyush M Surana, Rahul Ragesh, Gowri Srinivasa. Published at: IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2024. umeethedevilWebGoogle Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and … Select Courts - Google Scholar Google Scholar Citations lets you track citations to your publications over time. Northeastern University, MIT, Tsinghua - Cited by 1,741 - Applied mechanics - … Learn about Google Drive’s file-sharing platform that provides a personal, … English - Google Scholar Learn more about Dataset Search.. العربية Deutsch English Español (España) … Settings - Google Scholar McNeil Family Professor of Health Care Policy, Harvard Medical School - Cited … Assistant Professor of Mechanical Engineering, University of Arkansas - … thor machine embroidery patternumeeting downloadWebGoogle Scholar; Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, and Vijay Lingam. 2024. Hetegcn: heterogeneous graph convolutional networks for text classification. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining. 860--868. Google Scholar Digital Library umeeting windows 版