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Aseem Baranwal
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2020 – today
- 2024
- [i5]Robert Wang, Aseem Baranwal, Kimon Fountoulakis:
Analysis of Corrected Graph Convolutions. CoRR abs/2405.13987 (2024) - 2023
- [j1]Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal
, Aukosh Jagannath:
Graph Attention Retrospective. J. Mach. Learn. Res. 24: 246:1-246:52 (2023) - [c3]Aseem Baranwal
, Kimon Fountoulakis, Aukosh Jagannath:
Effects of Graph Convolutions in Multi-layer Networks. ICLR 2023 - [c2]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Optimality of Message-Passing Architectures for Sparse Graphs. NeurIPS 2023 - [i4]Aseem Baranwal, Aukosh Jagannath, Kimon Fountoulakis:
Optimality of Message-Passing Architectures for Sparse Graphs. CoRR abs/2305.10391 (2023) - 2022
- [i3]Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath:
Graph Attention Retrospective. CoRR abs/2202.13060 (2022) - [i2]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Effects of Graph Convolutions in Deep Networks. CoRR abs/2204.09297 (2022) - 2021
- [c1]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. ICML 2021: 684-693 - [i1]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. CoRR abs/2102.06966 (2021)
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last updated on 2024-08-05 21:15 CEST by the dblp team
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