Mahinthan Chandramohan
Graph Learning · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Graph Learning — 15 citations into it; #589 of 693 by trust here, #392 by citations
- Artificial Intelligence — 13 citations into it; #30,090 of 35,345 by trust here, #15,866 by citations
- Representation & Self-Supervised Learning — 8 citations into it; #2,714 of 3,145 by trust here, #1,943 by citations
Whom Mahinthan Chandramohan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brendan J. Frey
- Tomas Mikolov
- Pinar Yanardag
- Nino Shervashidze
- Aditya Grover
- Pinar Yanardag
- Mathias Niepert
- S. V. N. Vishwanathan
- Delbert Dueck
- Annamalai Narayanan
Who trusts Mahinthan Chandramohan overall
Papers from Mahinthan Chandramohan's perspective
Ordered by how strongly the researchers Mahinthan Chandramohan trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient Estimation of Word Representations in Vector Space
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Shortest-path kernels on graphs
Their papers
- subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs (2016) — 160 citations
- graph2vec: Learning Distributed Representations of Graphs (2017) — 879 citations
- Steelix: program-state based binary fuzzing (2017) — 298 citations