Sudhanshu Chanpuriya

7 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🔥 Unstoppable · Bronze

Venues

NeurIPS (4) ICML (2) ICLR (1)

Top co-authors

Cameron Musco (5) Konstantinos Sotiropoulos (4) Charalampos Tsourakakis (4) Cameron N Musco (2) Nedim Lipka (2) Jane Hoffswell (1) Shunan Guo (1) Tong Yu (1) Ryan Rossi (1) Tung Mai (1)

Research topics

Machine Learning (6) Core Methods (6) Deep Learning (3) Mathematics & Optimization (3) Mathematics (3) Computer Science (2) Architectures (2) Foundations (2) Models (2) Artificial Intelligence (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory (1)

Keywords

link prediction (3) triangle density (2) graph neural network (2) node embedding (2) graph generation (1) community detection (1) network analysis (1) graph embedding (1) low-rank representation (1) spectral embedding (1) random graph (1) node classification (1) graph convolution (1) edge representation (1) graph reconstruction (1) network embedding (1) temporal network (1) heterophilous graph (1) subgraph density (1) dense subgraph discovery (1)

Papers

On the Role of Edge Dependency in Graph Generative Models ICML 2024 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023 Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings NeurIPS 2023 Simplified Graph Convolution with Heterophily NeurIPS 2022 DeepWalking Backwards: From Embeddings Back to Graphs ICML 2021 On the Power of Edge Independent Graph Models NeurIPS 2021 Node Embeddings and Exact Low-Rank Representations of Complex Networks NeurIPS 2020