Ali Parviz

4 papers · 2022–2025 · 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 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

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

Top co-authors

Shenyang Huang (2) Guillaume Rabusseau (2) Guy Wolf (2) Dominique Beaini (2) Reihaneh Rabbany (2) Vijay Prakash Dwivedi (1) Dominic Masters (1) Jacob Danovitch (1) Luis Müller (1) Mahdi Karami (1)

Research topics

Deep Learning (3) Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Architectures (2) Core Methods (2) Techniques (2) Core AI (1) Learning Paradigms (1)

Keywords

link prediction (1) multi-task learning (1) transfer learning (1) transformer (1) graph representation (1) message passing (1) molecular machine learning (1) benchmark dataset (1) graph transformer (1) foundation model (1) graph machine learning (1) temporal knowledge graph (1) property prediction (1) linear rnn (1) heterogeneous graph (1) long-range dependency (1) message passing neural network (1) long-range interaction (1) graph neural network (1) graph tokenization (1)

Papers

Best of Both Worlds: Advantages of Hybrid Graph Sequence Models ICML 2025 TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs NeurIPS 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Long Range Graph Benchmark NeurIPS 2022