v1.10.2

What's Changed

• 🧰♻️ Add Dependency Caching by @mberr in #1239
• ⚖️🗺️ Fix estimate diversity function by @dobraczka in #1242
• 👋🌐 Update Hello World Notebook by @mberr in #1249
• 💾📉 Improve Memory-Efficiency of Converting OGB Datasets to TriplesFactory by @mberr in #1253
• 🔧✍️ Fix CachedTextRepresentation.from_dataset by @mberr in #1259
• 🧬 💾 Add the PharMeBINet dataset by @sbonner0 in #1257
• ⚗️🎯 Fix norm limit regularizers hpo defaults by @mberr in #1274
• 🤔🙅‍♀️ Fix TransH HPO compatability by @mberr in #1277
• 🔥🪞 Fix relation prediction with inverses by @mberr in #1304
• 🧹🧑‍⚖️ add gc_after_trial parameter for optuna by @LizzAlice in #1301
• 🐏🚀 Use torch_max_mem for automatic memory optimization in Evaluator by @mberr in #1261
• ⚓↕️ CSGraphAnchorSearcher: Ensure top-k index array is sorted by @mberr in #1318
• 🔥🧩 Fix NodePiece & Complex Embeddings by @mberr in #1288
• 🥄🧩 Utility to create inductive NodePiece representations by @mberr in #1322
• 🍂🚮 Ensure cleanup of temporary files by @mberr in #1307
• ↔️⭐ Merge BoxE interaction by @mberr in #1180
• 🌅🔪 Early Slicing for Lazy Target Representations by @mberr in #1321
• 🔧🔮 Fix predict_all for inductive inference by @mberr in #1320
• 🏗️🌊 Support resolving non-rank-based metrics by @mberr in #1237
• 📖✨ Update readme by @mberr in #968
• ⁉️⭕ Raise error when encountering a checkpoint_name in the HPO configuration by @mberr in #1324
• 📉☎️ Validation Loss Training Callback by @mberr in #1169
• Relax protobuf requirement by @cthoyt in #1332
• ✅📉 Check Losses' HPO Defaults by @mberr in #1333
• 🔝📐 Bump PyTorch Geometric cpu-build version for CI by @mberr in #1336
• ☑️💸 Update Losses' HPO default range checks by @mberr in #1337
• 🎣🏆 Repo cleanup and fix RGCN's hpo_default by @mberr in #1370

New Contributors

• @LizzAlice made their first contribution in #1301

Full Changelog: v1.10.1...v1.10.2